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The Role We are seeking Senior Quant Engineer to join our Quantitative Research & Investments Technology (QRIT) team in Fidelity Asset Management Technology. This role will partner with the quant research and investments teams to design, build, enhance, and support a comprehensive Systematic Fixed Income research and portfolio construction ecosystem. This individual will include hands on development collaborating with team of software engineers and quantitative developers. The Expertise and Skills You Bring * Bachelor’s degree in a computational field such as Computer Science, Master’s degree is preferred * Minimum of 3 years of proven professional experience working in financial services (Asset Management experienced preferred) * Proven experience engaging with senior internal and external clients and partners * Experience with Python and micro-services / RESTful APIs * Experience integrating data services with Excel or other UI like angular is a plus * Prior quant dev experience with Fixed Income asset class is a plus * Experience working on AWS cloud environment and working knowledge of CI/CD & DevOps * Strong experience in system architecture, design patterns and software engineering fundamentals such as OOP, functional programming, data modeling. * Advanced understanding of data structures * Demonstrated experience with portfolio construction and/or portfolio optimization is a plus * Proven ability to capture requirements and formulate plans by partnering with various stakeholders * Strong communication, interpersonal and relationship building skills to influence decisions and engage across Fidelity and at all levels of the organization The base salary range for this position is $97,000-185,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Information Technology

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Full-Stack Engineer to join our Wealth Service Platform team. This role is located in New York, NY. In this role, you’ll make an impact in the following ways: • Lead the design, development, and deployment of full stack applications aligned with business needs., • Collaborate with cross-functional teams including product, operations, and security to deliver innovative solutions., • Drive best practices in coding, testing, and deployment to ensure high-quality software delivery., • Mentor and guide junior developers, fostering a culture of continuous learning and improvement., • Participate in architectural decisions and contribute to technology strategy., • Participating in code reviews and assisting in debugging efforts., • Ensure applications meet security, compliance, and performance standards., • Manage project timelines and deliverables, coordinating with stakeholders to meet business objectives., • Continuously contributing directly to the success of project deliverables. To be successful in this role, we’re seeking the following:, • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred., • 7-9 years of experience in full stack software development required, • Extensive experience in full stack development with proficiency in modern front-end frameworks (e.g., Angular, React, Vue) and back-end technologies (e.g., Java, Spring Framework, Oracle, SQL)., • Strong understanding of REST APIs, cloud platforms, and DevOps practices., • Proven leadership experience in software development projects within a financial services environment is a plus., • Excellent problem-solving, communication, and collaboration skills., • Ability to work effectively in a fast-paced, agile environment. At BNY, our culture speaks for itself, check out the latest BNY news at: ___ ___ Here’s a few of our recent awards:, • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness : projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI —full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI —so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway , not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers , Java full stack developers , Python/Java developers , DevOps-focused engineers , and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways , and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

DevOps, Cloud Engineering, or Site Reliability Engineering (SRE). You will work closely with Engineering, QA, and Security teams to ensure fast, safe, and scalable software delivery. You are excited about using AI to improve monitoring, reduce downtime, and speed up DevOps workflows.

Software, Data or DevOps Engineer and 3+ years of experience with AWS. A talented DevOps engineer with a strong Kubernetes focus is needed on the Element 84 team to support a commercial client in their modernization and cloud migration efforts. Bachelor's Degree in a technical major, such as Compute

Agile Defense is looking for a DevOps Engineer to be part of a growing team in the federal sector. Write code, building infrastructure as code, work with immutable “cloud” based environments, and build the supporting automated toolsets to test and deploy the systems they develop. As an DevOps e

Job Title: QA Automation Engineer II Location: Jersey City, NJ(Hybrid) Duration: 6+ Months (Extendable) ("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”) A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $65 with limited benefits. Job Description: Top Skills: Selenium, Automation testing, Java/C#, API Testing, UI Testing, JMeter, SQL(Database Testing), Python Key Experiences: • 9+ years of proven experience in the software development industry, participating in a team environment., • 5+ years of experience in UI automation, such as Selenium WebDriver., • 5+ years of proven experience in testing web services such as RESTful API., • 3+ years of proven experience in performance testing using tools such as Apache JMeter (nice to have)., • 2+ years of working in a cloud-based development and production environment such as AWS., • 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#., • Proficient with both SQL and NoSQL databases., • Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments., • Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus. Key Responsibilities: • Design and execute functional and automation testing for applications., • Develop and execute automated test scripts using testing tools; document and summarize results., • Build, update, and maintain UI automation test cases using Selenium with C# (flexibility to learn C# if not already proficient)., • Perform manual API testing using tools such as Postman or Insomnia., • Perform API automation testing using industry-standard frameworks and tools., • Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)., • Collaborate closely with Development and Business teams to ensure project success., • Quickly adapt to new technologies and tools (e.g., Amazon Web Services)., • Work with SQL and NoSQL databases for backend validation and robust data testing., • Create comprehensive end-to-end test plans, test specifications, and test case templates., • Develop and document detailed test plans and test cases., • Facilitate defect tracking, reporting, and resolution management., • Review requirements (Functional Specifications, User Stories, Change Requests) to ensure full coverage., • Identify and manage test data; prepare automation-ready test cases., • Conduct system testing, regression testing, and support User Acceptance Testing (UAT)., • Apply test case design techniques (e.g., boundary value analysis, equivalence partitioning)., • Implement Shift Left Testing practices by participating in early requirement and design reviews, writing acceptance criteria up front, and integrating automated tests in CI/CD pipelines., • Be actively involved in the deployment process, collaborating with DevOps and engineering teams to ensure smooth releases. Nice to Have: • Experience with application monitoring tools (e.g., New Relic, Datadog, CloudWatch)., • Working knowledge of Python for scripting and automation., • Familiarity with AWS services for cloud-based testing and deployment., • Hands-on experience with performance and load testing using JMeter, • Experience with testing AI/ML-powered applications, including validating model outputs, creating test datasets, evaluating model performance.

Sr Production Engineer Duration: 12 Months (with possibility of extension based on performance and business needs.) Location: Remote: US ( Occasional travel to Yahoo offices Sunnywale, Ca or New York, NY) Coding test: Required Pay: $85-$100/Hr How does this role fit within the team/department? This role sits within Yahoo Mail's Production Engineering. Engineers in this role directly support cloud infrastructure reliability, cost efficiency, and automation for one of the world's largest consumer email platforms, serving hundreds of millions of users globally. Overview Of The Team Yahoo Mail Production Engineering manages GCP-based infrastructure including GKE clusters, Compute Engine, Dataproc, Vertex AI and more gcp services. The team is responsible for production reliability, capacity planning, cost optimization, CI/CD pipelines, MLOPS, and infrastructure-as-code across 40+ GCP projects on an extra large, petabyte data size scale. We work in close collaboration with software architects, developers and product managers to deliver end to end results. Primary responsibilities (daily/weekly)? • Operate, monitor, and improve GKE apps, Analytics, and ML production workloads, • Manage Terraform/Ansible/Helm IaC for GCP resource provisioning and policy enforcement, • Participate in on-call rotation for production incidents, • Review and improve CI/CD pipelines for services deployed in Python, Node.js, and Java, • Collaborate with architects and developers on infrastructure architecture and design, • Automate cloud operations through programmable and secure solutions, • Leverage AI-driven tools for development agents, troubleshooting, and automation Key projects or initiatives for the role? • On-prem to GCP migration of large-scale Yahoo Mail workloads, • Analyti- Analytics pipeline and reliability improvementsplatform work (Vertex AI, Generative AI, BigQuery, Looker, Dataproc) Success metrics or KPIs for this role? • On-call incident resolution time and escalation rate (MTTD, MTTR, MTTE), • Terraform/IaC coverage of managed resources, • CI/CD pipeline reliability and deployment velocity, • Progress on on-prem to GCP migration milestones, • Sprint goal achievement (SMART goals per sprint) Technical (Required) • 5+ years in SRE, DevOps, Infrastructure, or Cloud Operations with on-call duties, • GCP services proficiency: GKE, GCE, Networking, Security, CI/CD, and common cloud technologies, • IaC proficiency: Terraform, Ansible, and Helm Charts, • Programming in Python, Node.js, and Java; ability to build CI/CD pipelines in these languages, • Linux, TCP/IP, HTTP, mail protocols, DNS, CDN, load balancers, and troubleshooting, • Experience with large-scale production applications, systems, and networks Technical (Advantageous) • Cloud databases and storage: GCS, Cloud SQL, Spanner, Memorystore, • ML/AI platforms: Vertex AI, Generative AI, BigQuery, Looker, Dataproc, • Cloud Observability and OpenTelemetry, • Proven track record migrating on-prem infrastructure to GCP, • Operational experience in both on-prem and cloud environments Ideal experience level (years, leadership, industries)? 5+ years total cloud/SRE experience, with preference for GCP. Experience at large-scale internet companies with petabytes level data production systems is strongly preferred.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Preferably Hybrid (Local to NYC area) or Remote (For Non-Local) About the team The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx's Judi platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams. Position Summary: We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We're seeking a highly skilled and experiencedPlatform Developerto join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform. You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security. Position Responsibilities: • Develop and support highly available, scalable, and secure platform & infrastructure, • Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform, • Write clean, efficient, and well-tested Python code for automation, tooling and service development., • Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity., • Administer and finetune container orchestration platforms such EKS and ECS., • Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities., • Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices., • Contribute to defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards., • Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability., • Participate in on-call rotations to provide operational support and incident response., • Adopt Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives., • Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency., • Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows., • 5+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer., • Strong expertise inAWSinfrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis, • Excellent proficiency withTerraform,Python,SQL, and automation tooling., • Extensive experience withDockerand container orchestration (Kubernetes/EKS)., • Solid understanding and hands-on experience with SQL, database administration (PostgreSQLpreferred), and performance tuning, • Experience withCI/CDsystems (e.g., GoCD, GitHub Actions, Harness)., • Proven experience in automatingObservability & Monitoring (Grafana, Kibana, Prometheus),standardizing incident response for alerts to maintain SLAs and SLOs, • Hands-on experience in environments compliant withFISMA,SOC 2, and/orFedRAMP., • Background in buildinghighly scalable, performant SaaSplatforms., • Excellent communication, collaboration and problem-solving skills., • Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters., • Strong experience inproduction on callrotations and responding to alerts. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$86,400—$136,000 USDNew York, NY Salary Range$108,800—$136,000 USDDenver, CO Salary Range$100,000—$125,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

We are looking to add a software engineer who will contribute to the full software development lifecycle, with a strong emphasis on AI. You’ll work with a modern tech stack including Python, Azure OpenAI, Langchain, Postgres, Docker, Cursor, Git, Azure DevOps, React, and AI Agents to deliver high-

Sony Interactive Entertainment LLC seeks a Senior DevOps Engineer in San Diego, CA to ensure the development, design, testing, and deployment of AEM assets and sites, as well as Adobe Marketing Cloud tools and products. Requires a Bachelor’s degree in Computer Science, Engineering (any), or relate

Eucon Americas LLC is part of Infopro Digital and operates as a fast‑growing, technology‑driven business focused on delivering innovative data, software and analytics solutions. As part of our continued growth across the Americas, we are seeking a DevOps Engineer to support and enhance the opera

Keine 100 % Übereinstimmung mit unseren Anforderungen? Keine Sorge, wir von der ARES unterstützen deine persönliche Entwicklung und Weiterbildung. Buddy-Programm & persönliches Mentoring für deinen perfekten Start bei ARES!. Werde Teil von ARES und gestalte aktiv mit uns die digitale Zukunft!.

As a Devops Engineer at Flow you will take the lead in growing and supporting our existing Devops infrastructure. The Flow Platform is cloud-based platform-as-a-service (PaaS) built on top of a real-time architecture that enables on-demand stream processing, data routing, and interoperability across

The Lead AWS DevOps Engineer is responsible for developing, maintaining, and managing AWS technology infrastructure leveraging cloud services and automation to ensure SaaS solutions are optimized for functionality, performance, and cost. Work closely with engineering and product teams to support new

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

DevOps, Platform Engineering, or SRE roles building and operating production systems at scale. Create the infrastructure that supports iterative self-refinement — where an agent or engineer can run their output, capture what failed, and iterate before opening a PR. You think about infrastructure a

Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. As a Technical Lead at Nearform, you will be responsible for leading and guiding development teams while

At August Health, our mission is to empower the essential work of caring for our elders.We achieve this by providing a modern operating platform and electronic health record (EHR) that enables senior living operators to deliver high-quality care with confidence.Caregivers are the heart of senior liv

We are looking for a Staff Site Reliability Engineer to lead AI enablement across our engineering organization. SRE, DevOps, Cloud Engineering, Platform Engineering, or Software Development roles. AI Enablement Strategy: Define and own the standards and best practices for AI-assisted development acr

As a Senior DevOps Engineer at Sword Health, you'll own and evolve the infrastructure that powers the world's leading AI Care platform. Mentor and guide junior team members, sharing DevOps best practices and fostering a culture of continuous learning and improvement within the team. Stay up-to-date

Pre-Sales or Post-Sales experience in Sales Engineering, Web Development, Customer facing DevOps Engineer, Technical Account Management, or Solutions Architect. Internally we title this role as a Fastly Cloud Engineer (CE) within the Fastly Revenue Organization.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.At the h

We are seeking a DevOps Engineer with 5 to 7 years of experience, who possesses strong proficiency in.

Lead the initial setup of our DevOps and platform engineering practices, defining standards, tooling, and infrastructure strategy. DevOps foundation at DualEntry.

Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructur

As a Senior Professional Services DevOps Engineer in JFrog you will. Team up with Sales, Customer Success, Support and Development while work directly with Devs and DevOps Pros to ensure success with the customer’s DevOps journey using the JFrog platform. To be a Senior Professional Services DevOp

Leap Event Technology requires all Event Operations employees and contractors who will be representing the company at a client event to be fully vaccinated at least two weeks prior to attending. We are a diverse and passionate team of event experts and fans who are dedicated to helping organizers tr

Exnaton is a startup, spun out of ETH Zurich, which offers software for renewable energy to utility companies.Our software enables energy providers to set up energy communities and smart energy tariffs in their distribution areas.Users of our software can track their energy consumption and buy renew

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As the newest member of our engineering team, you will own the infrastructure and delivery systems that power our SimGate™ SaaS platform. Our engineering foundation is strong, and your goal will be to modernize our CI/CD pipelines, strengthen platform reliability, and improve observability across

We are seeking a fully remote junior-level engineer or intern who is eager to learn modern cloud and DevOps practices. Wants career growth in DevOps, SRE, Cloud, or Platform Engineering.

A passion for mentorship, teaching, and supporting engineers in their DevOps growth journey. We are looking for a Senior DevOps Engineer to join our Platform team to work across the technology organization to transform our development, testing, and deployment processes. They will provide mentorship

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,000—$225,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

• Partner closely with the Product team and other key stakeholders to help implement new features and services customers love, • Be responsible for leading engineering projects from design to implementation, and into ongoing operation, • Coach, mentor, grow, and support your direct reports, • Work with other Engineering leaders to support and grow the culture of our engineering team, • Own the performance and outcomes of your team, shipping high quality products and features, • 2+ years of experience managing high performing software engineering teams in a fast-paced, SaaS startup environment, • Full-stack (database, backend, and frontend) experience in a modern technology stack. You were an experienced software engineer before becoming a manager., • A "move fast, take action" mentality. We have a very successful product and our customers have high expectations for their mail quality. Meeting their expectations sometimes requires us to quickly adapt and learn and implement new technologies., • Experience leading teams of engineers on technical projects. We’ll want to hear how your teammates developed and grew under your leadership., • Deep knowledge of at least one mainstream programming language, including being able to write, read, and understand code in that language. We primarily use Node.js and Go at Lob., • Experience with modern practices related to testing, QA, DevOps, CI/CD, observability, and service ownership, • Ownership of mission critical services, and working with teams responsible for on-call rotations supporting production customer workloads., • Great communication skills. You should be able to explain your approach and the impact of your work to both technical and non-technical stakeholders in a way that is clear to all., • Experience building technology in the supply-chain / logistics industry is a plus. Compensation information Base: $195,000 - $225,000 + RSU <#LI-REMOTE #LI-GD1

Pearpop is redefining how brands harness creators to reach and inspire new audiences. As a full-service creative partner, we combine creative strategy, creator curation, and media amplification to deliver content that moves culture and drives results. With best-in-class creative, unmatched creator access, and a data-driven approach, we craft strategic, insight-driven campaigns backed by full-stack technology and performance media. Whether acting as a standalone creator solution or an extension of your team, Pearpop ensures every campaign is seamless, impactful, and culturally relevant. We're bringing together a smart and passionate team of creative builders to join us as we are a growth-stage, high-performance startup. In addition to competitive salaries, we have all the good stuff – equity, generous health and dental insurance, 401(k), and unlimited PTO. This is a remote position if based outside of LA or hybrid if located in LA; fully stocked with snacks, beverages, cold brew, and all the good stuff! As a Senior Full Stack Engineer, you’ll play a pivotal role in designing, developing, and optimizing Pearpop’s platform, ensuring high-performance, scalable solutions that support creator-brand collaborations. You’ll own the full development lifecycle, building RESTful APIs, integrating front-end and back-end systems, and implementing secure, data-driven features. Collaborating with cross-functional teams (product, design, talent, marketing), you’ll drive technical excellence, mentor a small team of engineers, and contribute to architectural decisions. This role demands deep expertise in Node.js, React, and cloud platforms (GCP, AWS), along with a proactive mindset to innovate in the creator economy. * End-to-End Development: Design, develop, and maintain scalable server-side applications using Node.js and dynamic front-end interfaces using React, ensuring seamless integration across the stack. * API Design and Integration: Architect and implement robust RESTful APIs and microservices to support front-end services, creator workflows, and brand integrations, optimizing for performance and reliability. * Cross-Functional Collaboration: Partner with product managers, designers, and talent teams to translate business requirements into technical solutions, ensuring alignment with Pearpop’s creator-centric vision. * Performance Optimization: Optimize applications for maximum speed, scalability, and reliability, leveraging cloud platforms (GCP, AWS) to handle high-volume creator and brand interactions. * Security and Data Protection: Implement advanced security measures (e.g., authentication via Gravitee, encryption) and data protection protocols to safeguard user and creator data. * Technical Leadership: Mentor junior engineers, lead code reviews, and enforce best practices to ensure high code quality, maintainability, and adherence to Pearpop’s standards. * Troubleshooting and Debugging: Proactively identify, troubleshoot, and resolve complex technical issues across front-end and back-end systems, ensuring optimal platform performance. * Infrastructure and DevOps: Contribute to CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and containerization (Docker) to streamline deployment and scalability. * Innovation and Trends: Stay ahead of industry trends in full-stack development, cloud technologies, and creator economy platforms, integrating cutting-edge solutions to enhance Pearpop’s offerings. * Project Ownership: Take ownership of critical projects, from ideation to deployment, driving technical strategy and delivering measurable impact on platform growth. * Experience: 7+ years in full-stack development, with 5+ years focused on Node.js for back-end and React (or similar frameworks like Vue.js) for front-end in high-growth tech or media companies. * Technical Expertise: * Advanced proficiency in JavaScript, TypeScript, and Node.js frameworks (e.g., Express). * Strong experience with React for building dynamic, responsive user interfaces. * Expertise in designing and implementing RESTful APIs and microservices architectures. * Proficiency with database systems (MySQL, PostgreSQL, or MongoDB) and ORMs like Sequelize. * Deep knowledge of version control systems (Git, GitHub) and branching strategies. * Cloud and DevOps: Extensive experience with cloud platforms (Google Cloud Platform, AWS) and containerization technologies (Docker), with proficiency in CI/CD pipelines and IaC tools (Terraform, CloudFormation, GitHub Actions). * Security: Experience implementing authentication systems (e.g., Gravitee, OAuth) and data protection measures to ensure platform security. * Front-End Knowledge: Strong understanding of front-end technologies (HTML5, CSS3, JavaScript frameworks), with the ability to integrate user-facing elements with server-side logic. * Leadership: Proven ability to mentor engineers, lead technical initiatives, and drive cross-functional collaboration in fast-paced environments. * Problem-Solving: Exceptional analytical and problem-solving skills, with a track record of resolving complex technical challenges independently and collaboratively. * Cultural Fit: Passion for social media, internet culture, and the creator economy, with a collaborative, innovative, and savvy mindset. * Education: Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees or certifications (e.g., AWS Certified Developer, Google Cloud Professional) preferred but not required. * Experience leading full-stack projects in creator economy, media, or social media platforms. * Proficiency in advanced front-end frameworks (e.g., Next.js, Vue.js) and state management (Redux, Context API). * Knowledge of performance monitoring tools (e.g., New Relic, Datadog) and observability practices. * Familiarity with GraphQL for flexible API development. * Experience with agile methodologies and project management tools (e.g., Jira, Asana). * Strong communication skills to articulate technical concepts to non-technical stakeholders. * Impactful Role: Shape the technical backbone of Pearpop’s creator platform, driving innovation in the $250B creator economy. * Innovative Culture: Thrive in a collaborative, fast-paced startup led by a Forbes 30 Under 30 CEO, leveraging cutting-edge tech (GCP, Salesforce, AI-driven insights) to redefine creator partnerships. * Growth Opportunities: Lead high-impact projects and mentor a growing engineering team, with a clear path to influence Pearpop’s technical strategy. * Competitive Compensation: $95,000 - $130,000 base salary + full benefits Pearpop is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment. All employment is decided on the basis of qualifications, merit, and business need. Pearpop celebrates and embraces diversity.

DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. 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___ is transforming how companies discover, evaluate, and maximize the impact of events. Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions. Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights. In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful. Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more. About the Role AI is no longer an engineering story at Vendelux. It's a company story. The way our sales team prospects, the way product researches, the way ops runs processes, the way data answers questions. All of it is changing fast. We're looking for a Staff AI Enablement Engineer to be the technical force behind that change. This role sits at the intersection of deep AI infrastructure and cross-functional impact. You'll build the MCP servers, agent pipelines, context frameworks, and orchestration layers that make AI genuinely useful across every team - not just for the engineers who've already figured it out on their own. The work is hands-on and technical. The impact is company-wide. If you're the person at your current company who got everyone on Claude Code, wired up MCP servers for internal tools, and is already running agents 24/7, you might be exactly who we're looking for. What You'll Do Build the shared AI infrastructure layer * Design, build, and maintain MCP servers that connect our internal systems like Github, Snowflake, Linear, Notion, Slack, and others, to agents running across every function * Establish and own our context engineering standards: ___ / ___ conventions, shared context/ directories, architecture docs that make our agents deeply aware of how Vendelux works * Build the memory and persistence layer for long-running agents: session continuity, proactive scheduling, cross-session context * Own orchestration infrastructure for multi-agent workflows: coordination, sub-agent spawning, token budgets, permission boundaries * Maintain codebase health as the system scales: shared component libraries, automated quality gates, fragmentation checks, doc validation in the PR pipeline Drive adoption across every function * Partner with sales, ops, product, marketing, legal, and data teams to identify where AI can fundamentally change how a team works and build the agents that make it happen * Get every team to their “aha” moment fast: preconfigured environments, pre-connected tools, skills they can run immediately without debugging * Build and grow a skills marketplace where anyone can package a workflow and share it company-wide so one person’s breakthrough becomes everyone’s superpower * Create visibility and healthy competition around AI usage: leaderboards, showcases, Slack channels, all-hands demos that make building contagious * Identify force multipliers on every team (the people who get it early) and give them the platform and resources to bring their teams along Build purpose-built agents for non-engineering teams * Each agent isn’t a chatbot. It’s a composition: the right MCP integrations, the right document access, the right memory system, the right workflows assembled into something that genuinely serves a function’s real work * Work closely with domain experts to turn institutional knowledge into something an agent can act on; the best agents are co-created, not handed down * Given Vendelux’s focus on event intelligence and pipeline, there’s particular leverage in agents that understand our data models, account scoring, and sales workflows Own the hard infrastructure problems * Manage the access vs. safety tension: permissions scoping, token budgets, rate limiting, observability dashboards — guardrails that enable rather than block * Maintain reliability across agent infrastructure as the system grows: graceful degradation, fallback models, cost tracking * Evaluate frontier models, new MCP tooling, emerging agent frameworks, and integrate what's worth integrating before competitors catch up What We're Looking For Technical depth is the baseline. The ability to move others up the proficiency curve is what makes you exceptional in this role. Required * Strong software engineering fundamentals. You're building real infrastructure that teams depend on, not configuring existing tools * Deep hands-on experience with frontier AI agents (Claude Code, Codex, or equivalent) and the context engineering that makes them actually useful in complex codebases * Practical, production experience building with LLM APIs: tool use, multi-turn state, system prompt architecture, structured outputs, multi-agent orchestration * Hands-on experience with MCP or similar integration frameworks. You've connected agents to real production systems, not just toy examples * Experience designing for non-technical users: the agent that works for a software engineer is not the same as the one that works for a sales rep or an ops manager * Comfort working cross-functionally. You'll spend as much time talking to a head of sales or a product lead as you will writing code Nice to Have * Background in platform engineering, developer tooling, or data engineering * Experience with proactive/scheduled agent systems (not just request-response) * Familiarity with vector stores, RAG pipelines, or knowledge graph approaches for agent context * Experience with CI/CD automation involving AI agents * Exposure to B2B SaaS data models, CRM/MAP integrations, or event/attendee data What “Staff” Means Here Staff isn't a senior role with a better title. It means: * You identify the highest-leverage problems across the company without being told what they are * You define the technical direction for AI infrastructure and hold the standard across teams * You operate with wide autonomy and are accountable for outcomes, not just execution * You bring other engineers along: mentoring, documenting, setting patterns others can follow Why This Role, Why Now The gap between AI-native teams and everyone else is widening fast. At Vendelux, we're at an inflection point: our data assets — event intelligence, attendee behavior, account signals — are exactly the kind of domain-specific context that makes AI agents genuinely powerful rather than generic. The AI Enablement Engineer's job is to make that advantage real across every team. To make intelligence self-service, the same way DevOps made infrastructure self-service. One afternoon of setup, connecting the right agent to the right data and deploying it where a team already works, creates a permanent productivity gain that compounds. We're looking for the person who already knows this and wants the scope to do it at scale. Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds. Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Example certifications include: Certified Kubernetes Application Developer (CKAD), Kubernetes and Cloud Native Associate (KCNA), AWS Certified DevOps Engineer, Certified AWS SysAdmin, AWS Certified Advanced Networking, AWS Certified Security, Azure Developer Associate, Azure Solutions Architect,

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