60 jobs found

About Pallet Pallet is building AI Agents to transform the physical economy - a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started. Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow supply chain teams down - from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time and integrate directly with customer systems. As companies across the physical economy look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep supply chain expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company powering the physical economy. Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology. $175,000 - $265,000 Full-time / Onsite (5 days/week) About The Role Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we're on track to build the next $10 billion tech company in logistics. We're hiring Product Engineers to bridge the gap between customers and our AI platform, customize solutions for enterprise clients, and collaborate with cross-functional teams to build our AI product from the ground up. They'll work directly with Aren (ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to shape the future of logistics AI - from how it's built to how it's deployed in the real world. You could be an engineer anywhere, why us? Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years, targeting a $11T market) Work directly with our CTO, ex-YC Founder, Doordash Help transform a massive industry and scale us toward a $10 B+ business Why this role is different Product Engineer at Pallet means something specific: you're not just shipping features, you're shaping what the product becomes. You'll work closely with customers, understand their real operational pain, and build the solutions that address it. The feedback loop here is tight, and the stakes are real. Among the first Product Engineers at Pallet, with genuine influence over product direction Full ownership from idea to deployment, building for enterprise logistics clients at scale Direct access to founders and cross-functional teams from day one Meaningful equity in a company targeting a $10B+ outcome What You'll Do Build and own core product features that power thousands of AI agents running in parallel to solve real logistics problems Act as the connective tissue between engineering and customers, translating real business needs into reliable, scalable software Design and implement data pipelines and backend systems built to grow from hundreds to millions of users Ship end-to-end features in a SaaS environment where customers see the impact quickly Collaborate with the engineering team on architecture, product decisions, and technical direction Help define what great product engineering looks like at Pallet as an early team member Who You Are 6+ years with deeper architectural ownership and a focus on system quality and long-term maintainability Strong backend and systems engineering fundamentals Experience owning core product or infrastructure in a SaaS or platform environment Someone who thinks about reliability, performance, and architecture, not just shipping Comfortable working in a fast-moving, in-person startup environment Excited to be in the office 5 days a week in SF's Financial District or our NYC satellite office Bonus: Node.js, TypeScript, GraphQL (our interviews are language-agnostic) Our tech stack Database: PostgreSQL Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP LLMs: OpenAI, Anthropic, Google (foundation models), Playwright (browser automation) Frontend: React + TypeScript, hosted on Vercel Interview Process We move fast, and we'll keep you informed at every stage of the process. Intro Chat with Head of Talent (30 mins) Technical Screen + Meet and Greet with an Engineer (60 mins) Executive Chat - Nilkanth (Neel) Patel, CTO (30-45 mins) Final Interview, visit our office, and deep dive into technical and behavioral interviews ( 3.5-4 hours) Compensation The estimated salary range for this role is $175,000 - $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location. Our Benefits We invest in our people the same way we invest in our product: seriously. Health, Vision, and Dental benefits ️ Take-what-you-need Paid Vacation Life Insurance and Accidental Insurance ️ Short-Term Disability Coverage Generous salary and equity for all staff 401k option; helping you save for the future Paid parental leave to support growing families Yearly learning and development stipend Commuter benefits for Bay Area employees Uber ride stipend if you ever have to work late in the office Remote office home stipend to get you comfy in your space Daily catered lunches provided ️ Onboarding trip to San Francisco HQ if you work remotely Monthly happy hours Annual Company Offsites; our last one was in Palm Springs CA Workplace Policy We are an in-person company. Our offices in San Francisco, New York City and London are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other. Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to one of our offices for their first week to onboard and meet the team, and we cover the full trip. Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. Equal Opportunity Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Pallet's Candidate Privacy Notice here. Accommodations Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. If you need any assistance or accommodations due to a disability, please contact us at .

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Description: As a Senior Cloud Engineer, you will be a key player in architecting, designing, and implementing cloud solutions that empower our clients to leverage the full potential of cloud technologies. You will be responsible for the development of a robust and scalable cloud infrastructure, serve as a technical mentor who guides, supports, and accelerates the professional growth of junior engineers, all while collaborating closely with cross-functional teams to ensure seamless integration and delivery to the missions. Work is 5 days onsite in Reston, VA. The work you'll do: Support the design and implementation of cloud-based architecture, ensuring scalability, reliability, and security in alignment with industry best practices. Collaborate with cross-functional teams to define requirements, troubleshoot issues, and optimize cloud infrastructure. Mentor and provide technical guidance to a team of cloud engineers, reviewing their work, and helping them solve complex technical challenges. Engage with stakeholders to translate technical requirements into actionable solutions, troubleshoot and resolve issues, and stay current on evolving cloud technologies and compliance standards. Provide requirement decomposition/definition and engineering expertise to assure program requirements are developed and sustained. Prepare operating instructions and end user training. Develop and implement cloud governance strategies, ensuring compliance with relevant standards and regulations. Lead efforts to automate deployment, monitoring, and management processes, enhancing efficiency and reducing manual intervention. Act as a subject matter expert on cloud engineering best practices, participating in knowledge sharing and contributing to the company's technical community. Participate in all phases of risk management assessments and architecture. Here's what you need: Bachelor's degree or equivalent experience. 10+ years of relevant IT, systems or infrastructure experience, including 5+ years of hands-on AWS cloud engineering experience. Experience designing, building, supporting and troubleshooting AWS cloud infrastructure in classified government environments. Hands-on experience with AWS services such as EC2, EBS, S3, IAM, VPC, Lambda or CloudFormation. Experience supporting AWS GovCloud and/or other classified AWS environments. Strong infrastructure-as-code experience using Terraform, CloudFormation or Ansible. Experience implementing cloud security controls, including IAM, SSO, federation, security baselines and account-auditing policies. Experience securing and hardening Linux or Windows cloud systems in accordance with applicable security and RMF requirements. Scripting and automation experience using Python, PowerShell, Bash or a similar language. Bonus points if you have: Experience supporting AWS environments across multiple classification domains. Experience creating, managing and hardening Amazon Machine Images or other cloud-based OS images. Experience with Docker, Kubernetes or EKS. Experience with microservices or serverless architecture. Experience with Azure or Google Cloud Platform. AWS cloud certification. Experience providing architecture guidance or supporting large-scale cloud-modernization initiatives. Security clearance: Active TS/SCI with Poly security clearance is required. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $100,200-$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If youare being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position . click apply for full job details

About Pallet Pallet is building AI Agents to transform the physical economy - a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started. Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow supply chain teams down - from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time and integrate directly with customer systems. As companies across the physical economy look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep supply chain expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company powering the physical economy. Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology. $175,000 - $265,000 Full-time / Onsite (5 days/week) About The Role Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we're on track to build the next $10 billion tech company in logistics. We're hiring Product Engineers to bridge the gap between customers and our AI platform, customize solutions for enterprise clients, and collaborate with cross-functional teams to build our AI product from the ground up. They'll work directly with Aren (ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to shape the future of logistics AI - from how it's built to how it's deployed in the real world. You could be an engineer anywhere, why us? Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years, targeting a $11T market) Work directly with our CTO, ex-YC Founder, Doordash Help transform a massive industry and scale us toward a $10 B+ business Why this role is different Product Engineer at Pallet means something specific: you're not just shipping features, you're shaping what the product becomes. You'll work closely with customers, understand their real operational pain, and build the solutions that address it. The feedback loop here is tight, and the stakes are real. Among the first Product Engineers at Pallet, with genuine influence over product direction Full ownership from idea to deployment, building for enterprise logistics clients at scale Direct access to founders and cross-functional teams from day one Meaningful equity in a company targeting a $10B+ outcome What You'll Do Build and own core product features that power thousands of AI agents running in parallel to solve real logistics problems Act as the connective tissue between engineering and customers, translating real business needs into reliable, scalable software Design and implement data pipelines and backend systems built to grow from hundreds to millions of users Ship end-to-end features in a SaaS environment where customers see the impact quickly Collaborate with the engineering team on architecture, product decisions, and technical direction Help define what great product engineering looks like at Pallet as an early team member Who You Are 6+ years with deeper architectural ownership and a focus on system quality and long-term maintainability Strong backend and systems engineering fundamentals Experience owning core product or infrastructure in a SaaS or platform environment Someone who thinks about reliability, performance, and architecture, not just shipping Comfortable working in a fast-moving, in-person startup environment Excited to be in the office 5 days a week in SF's Financial District or our NYC satellite office Bonus: Node.js, TypeScript, GraphQL (our interviews are language-agnostic) Our tech stack Database: PostgreSQL Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP LLMs: OpenAI, Anthropic, Google (foundation models), Playwright (browser automation) Frontend: React + TypeScript, hosted on Vercel Interview Process We move fast, and we'll keep you informed at every stage of the process. Intro Chat with Head of Talent (30 mins) Technical Screen + Meet and Greet with an Engineer (60 mins) Executive Chat - Nilkanth (Neel) Patel, CTO (30-45 mins) Final Interview, visit our office, and deep dive into technical and behavioral interviews ( 3.5-4 hours) Compensation The estimated salary range for this role is $175,000 - $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location. Our Benefits We invest in our people the same way we invest in our product: seriously. Health, Vision, and Dental benefits ️ Take-what-you-need Paid Vacation Life Insurance and Accidental Insurance ️ Short-Term Disability Coverage Generous salary and equity for all staff 401k option; helping you save for the future Paid parental leave to support growing families Yearly learning and development stipend Commuter benefits for Bay Area employees Uber ride stipend if you ever have to work late in the office Remote office home stipend to get you comfy in your space Daily catered lunches provided ️ Onboarding trip to San Francisco HQ if you work remotely Monthly happy hours Annual Company Offsites; our last one was in Palm Springs CA Workplace Policy We are an in-person company. Our offices in San Francisco, New York City and London are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other. Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to one of our offices for their first week to onboard and meet the team, and we cover the full trip. Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. Equal Opportunity Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Pallet's Candidate Privacy Notice here. Accommodations Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. If you need any assistance or accommodations due to a disability, please contact us at .

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500 work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team: Our Site Reliability Engineering (SRE) team consists of highly skilled engineers responsible for maintaining and enhancing the reliability, scalability, and performance of the ServiceNow infrastructure. Our SRE's are empowered to resolve technical issues across the entire technology stack, from hardware to applications. Additionally, they work to improve the platform's operability, aiming to reduce the number of incidents and minimize Mean Time to Recovery (MTTR). To achieve this, the team combines software development, networking, database, and systems engineering skills to tackle complex problems, striving to maintain our platform operating for our customers. Role: We are looking for a Director of Site Reliability Engineering to lead the next phase of our reliability transformation as ServiceNow modernizes toward a cloud-agnostic, cloud-ready production platform. This leader will own key elements of the SRE operating model across Reliability Engineering, Service Enablement, Service Registry, SLI/SLO standards, reliability governance, automation, AI-enabled operations, and production readiness . The role will lead a global engineering organization and partner across Product Engineering, Infrastructure, Architecture, Security, Release Engineering, and Customer Support to establish consistent reliability practices across ServiceNow products and services. The Director will play a critical role in evolving the organization from reactive operations toward an engineering-led SRE model focused on prevention, automation, resilience, and continuous improvement . What you get to do in this role: Define and execute the SRE strategy and operating model across reliability engineering, service enablement, observability, automation, incident learning, and production readiness. Lead and develop a global organization of engineering managers, technical leaders, and SREs. Establish enterprise reliability standards for service ownership, tiering, golden signals, SLIs/SLOs, error budgets, alerting, on-call practices, and service health reviews. Lead the Service Enablement strategy by establishing minimum reliability requirements and maturity standards for critical services. Own the Service Registry strategy, improving service ownership, dependency visibility, maturity tracking, and impact-aware operational decision-making. Drive adoption of SLIs, SLOs, error budgets, and burn-rate alerting across critical services, ensuring teams consistently use reliability signals to manage customer impact. Build a culture of engineering away toil by turning recurring operational work and incident patterns into automation, self-service, and systemic fixes. Establish the AI-enabled SRE roadmap, including change-risk assessment, operational insights, remediation recommendations, and policy-driven automation. Drive reliability and production-readiness strategy across AWS, Azure, and GCP by establishing cloud-agnostic patterns while addressing hyperscaler-specific operational requirements. Partner with product and platform engineers to design, launch, and operate reliable services throughout the production lifecycle. Establish launch and production-readiness practices that validate availability, latency, performance, capacity, dependencies, rollback, and recovery before customer impact. Drive sustainable operations by scaling self-service capabilities, automation platforms, and systemic reliability improvements across engineering teams. Lead incident response, blameless postmortems, and corrective actions that convert production failures into lasting reliability improvements. Measure reliability through SLIs, SLOs, error budgets, golden signals, change failure rate, MTTR, capacity health, and toil reduction. Influence architecture and platform direction to simplify operating models and improve reliability across ServiceNow's global infrastructure. Partner with executive and engineering leaders to prioritize reliability investments and drive adoption beyond the direct SRE organization. Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 12 years of significant leadership experience in Site Reliability Engineering, Production Engineering, Platform Engineering, Cloud Infrastructure, or large-scale distributed systems with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience. Proven success leading managers and senior technical leaders across geographically distributed engineering organizations. Demonstrated success leading SRE, infrastructure, or reliability transformation at scale. Strong understanding of SLIs/SLOs, error budgets, observability, incident management, reliability governance, and on-call practices. Experience with service catalogs, service registries, service ownership models, Backstage, CMDB, dependency mapping, or service topology. Strong background in cloud infrastructure and modernization across AWS, Azure, and/or GCP. Understanding of Kubernetes, distributed systems, networking, databases, infrastructure automation, and cloud-native architecture. Experience driving automation through orchestration, Infrastructure as Code, self-service platforms, and auto-remediation. Familiarity with AI-assisted operations, autonomous remediation, or agentic technologies is highly desirable. Experience establishing production-readiness practices for releases, resilience, disaster recovery, infrastructure changes, and cloud migrations. Ability to use incident, reliability, and operational data to prioritize engineering work and drive systemic improvements. Strong cross-functional influence and executive communication skills. Ability to operate effectively through ambiguity, organizational transformation, and large-scale technical change. For positions in this location, we offer a base pay of $221,200 - $387,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Employee Type: RegularRegion: AMS - North America and CanadaWork Persona: Flexible or Remote

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Shared Capabilities team builds and operates the core APIs, event standards, and integration services that power product development across CoverMyMeds. These services connect directly to critical business data and serve as foundational building blocks used by engineering teams throughout the organization. As a Senior Software Engineer , you will design, build, and operate production-grade APIs and event-driven services while helping establish the engineering standards that other teams follow. In addition to hands-on software development, you will serve as a technical resource for the organization by reviewing solution designs, mentoring engineers, and providing guidance on architectural decisions and implementation approaches. This is a highly collaborative, backend-focused engineering role with minimal frontend development. Success requires strong technical depth, sound engineering judgment, and the ability to influence teams through expertise rather than authority. What You'll Do Core Engineering Responsibilities Design, build, and operate scalable, production-grade APIs used across CoverMyMeds. Develop and maintain services built using TypeScript, Node.js, and Python. Build and support Kafka-based event-driven integrations and services. Design and maintain relational database schemas using PostgreSQL. Develop and maintain infrastructure as code using Terraform and related tooling. Build and enhance CI/CD pipelines using GitHub Actions and automated deployment processes. Build migration tools and assist engineering teams in adopting new platform capabilities. Troubleshoot and resolve production issues across services owned by the Shared Capabilities team. Participate in an on-call rotation supporting services owned by the team. Technical Leadership Responsibilities Perform technical feasibility reviews and provide actionable feedback on proposed solutions. Partner with engineering teams to establish and maintain API and event-design standards. Mentor engineers through code reviews, technical discussions, and collaborative problem solving. Act as a technical resource for teammates and partner engineering groups. Identify opportunities to improve engineering quality, maintainability, reliability, and scalability. Help drive adoption of modern engineering practices and development tooling. Collaborate with teams early in the design process to prevent costly architectural divergence. AI-Assisted Development Utilize AI-assisted development tools to improve engineering productivity and delivery speed. Contribute to the continuous improvement of team development workflows and engineering practices. Apply sound engineering judgment when validating AI-generated solutions and recommendations. Priority will be given to candidates who reside in the Columbus, OH Metropolitan area. We are unable to provide sponsorship for this role presently or in the future. Minimum Qualifications Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Critical Skills 5+ years of professional software development experience. Demonstrated experience designing, building, and operating production APIs. Experience developing backend services using TypeScript/Node.js and Python. Experience working with Kafka or similar event-streaming platforms. Experience designing and maintaining relational database schemas using PostgreSQL or similar technologies. Experience implementing infrastructure as code using Terraform or comparable tooling. Experience working with modern CI/CD platforms such as GitHub Actions. Experience supporting production systems and resolving operational issues. Experience participating in technical design discussions and code reviews. Preferred Qualifications Experience with Azure services, including API Management and Service Bus. Experience with Helm and Kubernetes-based deployment environments. Experience modernizing applications built with Ruby on Rails or Elixir. Experience working in SOX, ITGC, or other regulated software-delivery environments. Experience developing platform services, shared engineering capabilities, or internal developer platforms. Experience mentoring engineers and influencing technical decisions across teams. Experience using AI-assisted software-development tools such as Claude or similar technologies. Technical Capabilities Strong understanding of API design principles, including versioning and backward compatibility. Strong problem-solving and analytical skills. Ability to evaluate technical approaches and provide constructive engineering feedback. Ability to communicate technical concepts and tradeoffs to technical and non-technical audiences. Demonstrated ability to learn new technologies and apply them effectively in a production environment. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sr. Automation Engineer - JLL What this job involves: We are seeking a Senior Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. This role requires expertise in engineering principles, programming, and control system technologies, with a focus on maximizing the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. The Senior Automation Engineer will ensure all work aligns with company policies and procedures, with safety as the highest priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and lead the site's automation engineering program. Set program goals, delegate work, and mentor Automation Engineers and Apprentices to meet client objectives and safety/technical requirements. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot automation equipment, including PLC/PC controllers and industrial networks. Govern all automation documentation and change management processes for the site. Collaborate with operations, engineering, and support teams to optimize material handling systems and deliver projects. Provide advanced troubleshooting and escalation support, including remote assistance, root cause analysis, and vendor coordination. Monitor system performance, drive continuous improvement projects, and communicate technical issues, timelines, and workarounds to stakeholders. Required Qualifications: Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, OR 3+ years equivalent professional experience. 5+ years of PLC-controlled automation experience, including Ladder Logic and structured programming (Siemens, Allen-Bradley, or Codesys) and issue diagnosis in production environments. 2+ years with robotics work cells, control systems, electrical theory, controls components, and automated equipment. Leadership experience in directing, training, and mentoring automation engineers. Proficiency in CMMS use, troubleshooting, and coordinating maintenance with multiple stakeholders. Strong communication skills, policy interpretation, and continuous improvement mindset. Ability to adapt to evolving technologies and build scalable automation solutions. Preferred Qualifications: Advanced degree in relevant field plus 5+ years professional experience. 5+ years in PLC programming, troubleshooting, and modification, as well as HMI and control networks, SCADA systems, and motor control systems (VFDs, DC drives, starters). Industrial electrical experience with 480V 3-phase, 110 VAC, 24VDC, and reading/modifying mechanical and electrical drawings. Proficiency in programming tools such as RSLogix5000 Studio, FT View, and other control software; controls design and systems integration experience. Field service engineering and technical training experience, including conveyors, sortation, ASRS, and industrial robotics. Proven ability in remote technical support and driving continuous improvement in automated systems. Experience with advanced automation control systems and programmatic solutions for equipment optimization. At JLL, we work together to create a brighter future for our clients, colleagues, and communities. Our collaborative culture-locally and globally-drives innovative solutions. We value wellbeing, inclusivity, and belonging, ensuring every team member feels supported. JLL is proud to be an Equal Opportunity Employer committed to diversity and inclusion. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 110 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Monee, IL Job Tags: RME If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

IT Analyst - DeveloperPosition SummaryDesign, develop, enhance, and support business applications and integrations that enable manufacturing and engineering operations. As a Level II Developer, this role delivers small to medium complexity software solutions while ensuring application reliability, maintainability, security, and performance. Working closely with stakeholders, product owners, site support teams, and other IT functions, the role translates business requirements into scalable technical solutions that drive operational effectiveness.The position independently manages assigned development work through deployment and production support, contributes to application modernization initiatives, participates in DevOps and release management activities, and helps improve development standards through mentoring and knowledge sharing. Success in this role is measured through high-quality software delivery, stable production systems, effective collaboration, and continuous improvement of development practices.Core FunctionsApplication Development & EnhancementDesign, develop, test, and deploy application features and bug fixes using C#/.NET technologies, SQL Server, and IIS-hosted applications.Deliver small to medium complexity enhancements from requirements gathering through production deployment.Ensure acceptance criteria are clearly defined and solutions include appropriate unit and integration testing.Refactor existing applications to improve maintainability, performance, scalability, and code quality.Software Delivery & Project ExecutionOwn assigned backlog items through the full development lifecycle, including design, development, testing, deployment, and post-release support.Participate in sprint planning, backlog grooming, effort estimation, demonstrations, and retrospectives.Document technical decisions, system impacts, and implementation details to support long-term maintainability.Coordinate deployment activities while adhering to change management and release control processes.Production Support & Problem ResolutionMonitor application health and diagnose production issues using logs, metrics, and troubleshooting tools.Perform root cause analysis and implement corrective and preventive actions to reduce recurring issues.Collaborate with site support teams and business users to ensure effective issue resolution and knowledge transfer.Support application reliability initiatives and reduce mean time to resolution for supported systems.Development Operations & Quality AssuranceContribute to CI/CD pipelines, deployment automation, and environment management activities.Maintain deployment standards, release notes, rollback procedures, and configuration consistency across environments.Participate in code reviews and enforce secure coding, testing, and documentation standards.Improve application quality through expanded test coverage and adherence to development best practices.Technical Design & Architecture SupportParticipate in technical design discussions and solution reviews.Evaluate development approaches with consideration for security, performance, maintainability, and scalability.Support modernization efforts, including migration of legacy applications and tools to contemporary development platforms.Apply industry-standard development patterns and architecture principles.Documentation, Knowledge Sharing & MentoringCreate and maintain technical documentation, developer runbooks, API specifications, database diagrams, and user guides.Establish clear documentation standards that support supportability and knowledge retention.Provide coaching and guidance to Level I developers regarding coding practices, testing expectations, documentation quality, and repository management.Promote development discipline through peer reviews, knowledge sharing sessions, and continuous improvement initiatives.Collaboration & Stakeholder EngagementPartner with business stakeholders, product owners, quality assurance personnel, site support teams, and senior developers to deliver business-focused solutions.Communicate technical concepts effectively to both technical and non-technical audiences.Contribute to team retrospectives and recommend practical improvements to development processes and standards.Support cross-functional initiatives involving infrastructure, security, manufacturing systems, and data teams.This role requires a hands on technical leader with a strong business mindset, capable of owning outcomes, managing initiatives, influencing decisions, and driving change across multiple sites.General Qualifications & ExperienceEducation & ExperienceAssociate degree in Information Technology, Computer Science, or a related field with a minimum of three (3) years of relevant experience, orBachelor's degree in Information Technology, Computer Science, or a related field with two (2) to four (4) years of relevant experience.Experience supporting manufacturing, industrial, or distribution environments preferred.Technical KnowledgeStrong proficiency in C#/.NET development, including ASP.NET MVC and/or .NET Core.Experience with Microsoft SQL Server, T-SQL development, database design, indexing, and reporting technologies.Working knowledge of IIS web hosting and application deployment.Familiarity with Git-based source control, code review processes, and modern software development workflows.Experience with unit testing, integration testing, and software quality practices.Knowledge of secure coding principles, input validation, authentication, authorization, and performance optimization techniques.Familiarity with application monitoring, logging, troubleshooting, and root cause analysis methodologies.Preferred Technical ExposureExperience modernizing legacy applications and business tools.Knowledge of manufacturing systems, engineering applications, or shop-floor data collection environments.Exposure to API development, application integrations, and service-oriented architectures.Understanding of software performance monitoring and application reliability practices.Professional CompetenciesStrong analytical, problem-solving, and troubleshooting abilities.Ability to translate business requirements into technical solutions.Effective written and verbal communication skills.Ability to manage multiple priorities while meeting delivery commitments.Demonstrated attention to detail and commitment to code quality.Strong collaboration, mentoring, and knowledge-sharing capabilities.Ability to work independently with limited supervision while proactively communicating risks, blockers, and progress.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description About Radiant Radiant is an El Segundo, CA-based startup building the world's first mass-produced, portable nuclear microreactors. The company's first reactor, Kaleidos, is a 1-megawatt, fail-safe microreactor that can be transported anywhere power is needed and run for up to 5 years without refueling. Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and provide critical asset support for hospitals, data centers, remote sites, and military bases. Radiant's unique, practical approach to nuclear development leverages modern software engineering to rapidly deliver safe, factory-built microreactors that use existing, well-qualified materials. Founded in 2020, Radiant is on track to test its first reactor at the Idaho National Laboratory this summer, with initial customer deliveries beginning in 2028. About the Role We are seeking a Reactor Operations Engineer to design and implement mission-critical procedures for reactor operators managing our groundbreaking nuclear microreactor technology. This role offers a rare opportunity to bridge engineering, operations, and human factors in a highly technical and fast-paced environment. You will collaborate with a multidisciplinary team to translate complex hardware and software designs into clear, executable, and DOE or NRC compliant procedures. Your work will ensure that Reactor Operators (ROs) and Senior Reactor Operators (SROs) can efficiently and safely execute test, commissioning, and operational activities. This position goes beyond traditional systems engineering - you will also gain hands-on experience as a Reactor Operator (RO), directly influencing the development of operational software, procedures, and future reactor designs. Responsibilities & Duties: Qualify as an operator to gain firsthand experience, ensuring procedures align with real-world execution. Collaborate closely with engineers to improve operator interfaces, procedural workflows, and software tools. Support testing and iterative improvements of digital twin scenarios, operator systems, and human-machine interfaces. Ensure compliance with DOE and NRC standards, maintaining strict formatting, clarity, and usability in procedural documentation. Develop and refine operational procedures that integrate both software and hardware-in-the-loop testing. Required Qualifications & Skills: 4+ years of full-time professional experience in engineering problem-solving, including system design, analysis, or testing. Proficiency in managing or optimizing complex hardware and software processes for testing and operations. Ability to apply first principles thinking to solve problems and make decisions in uncertain or ambiguous situations. Background in highly regulated industries (e.g., nuclear, aerospace, aviation, maritime). Desired Qualifications & Skills: Prior experience working as an operator in nuclear environments (e.g., nuclear energy, naval reactors, or radiation-controlled facilities), with familiarity in safety protocols, regulatory compliance, and high-reliability operations 2+ years of full-time nuclear operations experience. Licensed as Senior Reactor Operator or Naval equivalent. Hands-on experience in developing technical procedures, human factors engineering, or operational interface design. Prior operations background such as mission control room operator. Proficiency in Python, UNIX, for procedure testing within the simulator environments. Experience with human factors and user-centered instructions for operational workflows. Additional Requirements: Must be willing to work extended hours and weekends as necessary to accomplish our mission. Must work 100% onsite at El Segundo HQ. Willingness to travel 50% - 60% of the time as needed for projects. Benefits and Perks Stock: Substantial incentive stock plan for all full-time employees. Medical: 100% up to base silver level plan for employee + 50% dependents, offers up to Platinum plans. One Medical: Sponsored memberships for employees and their dependents. Vision: 100% top tier plan coverage + 50% for dependents. Dental: 100% top tier plan coverage, orthodontia extra, 50% for dependents. Voluntary life, accident, hospital, critical illness, commuter and FSA/HSA are offered as employee contributed benefits. 8-weeks of paid parental leave for all parents. Additional paid pregnancy leave for CA employees. Daily catered lunch. Free snacks and drinks. Flexible PTO policy. Remote workday allocation. Company and team-bonding events, happy hours and in-person camaraderie. Beautiful El Segundo headquarters close to the Pacific Ocean. Total Compensation and Benefits Radiant compensates people for impact and invests in those who continue to raise the bar. Radiant's new hire compensation package includes base salary, substantial equity grants, and comprehensive health benefits. Total compensation and level are determined through a rigorous evaluation of interview performance, experience, education, and qualifications, and are designed to support continued growth as scope, responsibility, and impact expand at Radiant. The best of today's advanced reactor builders don't wait for job postings. They join the winning team. If that's you, contact us directly for immediate opportunities: . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. Compensation Range: $106,500 - $146,475

Job Description Job Description Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia's AI & Data Business Unit is the powerhouse of our firm's innovation-merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia's AI & Data team, you'll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description We are growing our Generative AI consulting practice and looking for motivated recent graduates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real business problems - helping clients across industries design, build, and deploy LLM-powered solutions that create tangible value. This is a hands-on technical role. You'll contribute to the full lifecycle of GenAI projects: from architecture and prototyping through to production deployment, evaluation, and iteration. We invest heavily in your development, and expect you to do the same. What You'll Do You'll design and implement GenAI/LLM solutions leveraging models such as Claude, GPT, Gemini, Llama, and Mistral - selecting the right approach (RAG, agents, fine-tuning, prompt engineering) for each client context. You'll support senior architects in designing scalable, secure, and compliant AI applications while building hands-on experience across the full stack. Responsibilities LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques. Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications. Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.). Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions. RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution). Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities. Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP). Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes. Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing. Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical). Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference. Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis). Qualifications Bachelors Degree Required Recent graduate (within 2 years) in CS, Engineering, Data Science, or equivalent Strong Python programming skills Familiarity with at least one GenAI framework (LangChain, LlamaIndex, or similar) Foundational knowledge of NLP concepts, vector embeddings, and semantic search Exposure to cloud platforms (AWS, Azure, or GCP) Ability to explain technical concepts clearly to diverse audiences Claude Certified Architect (CCA) Requirement All candidates must hold - or demonstrate the clear ability to obtain within one week of hire - the Claude Certified Architect - Foundations (CCA-F) certification from Anthropic. Preferred Qualifications Masters Degree Preferred Prior experience building agentic AI systems (LangGraph, AutoGen, etc) Familiarity with vector databases (Pinecone, Chroma, pgvector, OpenSearch) Experience with or understanding of the Model Context Protocol (MCP) Hands-on fine-tuning experience with open-source LLMs Familiarity with Docker, Git, and CI/CD workflows Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here's a snapshot of the comprehensive benefits you'll enjoy as part of Sia. Competitive Compensation Annual Base Salary Range: $80,000-110,000 annually, commensurate with experience and qualifications Annual performance based discretionary bonus Robust Health Coverage 3 Medical plans Dental and Vision Life, AD&D and other voluntary insurance Tax-Advantaged Accounts 401K retirement plan 4% matching and 100% vested upon enrollment Health Savings Account (HSA) Flexible Spending Account (FSA) Health, Dependent Care, Commuter Family Friendly Benefits 100% paid parental leave for all new parents with eligible tenure Building Healthy Families program if enrolled through Medical plan Time Off to Recharge Generous Paid Time Off (PTO) policy 9 company holidays plus 1 floating holiday Extras that Make Life Easier College savings and student loan repayment assistance Monthly cell phone stipend Access to wellness programs at no cost if enrolled through Medical plan, including: Employee Assistance Program at no cost Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging . We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer . All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations-New York City, Charlotte, Seattle, and San Francisco-are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.

Job Description Job Description We are hiring Site Reliability Engineer Manager- Hybrid for a Contract To Hire position in santa clara, CA The Role You will build and lead the Site Reliability Engineering team, owning the infrastructure that development, validation, and customer-facing deployments run on. This spans colocation facilities, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and the platform services customers use to collaborate on hardware and software deployments. You are both a people manager and a practicing engineer. You will set technical direction, hire and grow the team, own SLOs for critical systems, and be the senior escalation point when things go wrong. You will work closely with hardware and software development teams to ensure HPC infrastructure meets their workload requirements and partner with the Senior DevOps Lead whose pipelines and automation run on the infrastructure you own. What You Will Do Team Leadership & Strategy • Develop and manage a team of 3 5 SRE engineers; establish a culture of operational excellence, ownership, and continuous improvement. • Define the SRE team's technical roadmap: reliability architecture, automation priorities, capacity planning, and on-call model. • Serve as the senior technical escalation for critical incidents guiding cross-team triage, driving RCA, and ensuring systemic fixes rather than point patches. • Translate operational signals and infrastructure health into clear, actionable narratives for engineering leadership and executive stakeholders. • Partner with hardware and software development teams to understand HPC workload requirements and ensure infrastructure capacity, performance, and reliability meet the needs of silicon and software development programs. 24 x7 Infrastructure Reliability & Observability • Own 24 7 reliability across colocation, on-premises lab clusters, cloud, and customer-facing platform services designing for failure domains, progressive delivery, and strict change control at every tier. • Own the full observability stack (metrics, traces, logs) and define SLOs/SLIs across all SRE systems; use AI-driven detection, correlation, and guided remediation to reduce time to detect, respond, and resolve. • Evolve incident and problem management into a data-driven discipline: automated triage workflows, AI/analytics to identify recurring patterns, and every P0/P1 producing a written RCA with tracked systemic fixes. • Lead FinOps and capacity planning: model TCO across cloud vs. on-prem vs. colo, drive workload placement decisions, and anticipate infrastructure needs for new silicon programs and customer deployments. • Own infrastructure for customer collaboration environments where partners deploy and validate hardware and software. Automation & Infrastructure as Code • Drive IaC-first discipline across the team Terraform, Ansible, and production-quality automation for all infrastructure provisioning and lifecycle management. • Build and mature self-healing infrastructure platforms: host lifecycle automation, fleet auto-remediation, and AIOps-driven alerting that reduce manual intervention across the operational lifecycle. Documentation & Global Collaboration • Build a documentation culture and scale a follow-the-sun on-call model as we expands globally runbooks, architecture diagrams, and operational playbooks maintained as living artifacts. • Drive POC and POV evaluations for new infrastructure technologies, interconnect fabrics, and platform services relevant to our accelerator roadmap. What You Will Bring Required • Bachelor's or Master's in Computer Science, Electrical Engineering, or related field; 12+ years in SRE, infrastructure engineering, or production engineering (8 years minimum). • 3+ years managing SRE or infrastructure teams hiring, growing, and retaining engineers in a fast-moving environment. • Deep Linux systems expertise: networking (TCP/IP, RDMA, bonding), storage, kernel tuning, and bare-metal operations. • Proven experience operating colocation and on-premises hardware at scale: server lifecycle, power and cooling awareness, rack-level networking. • IaC fluency: Terraform and Ansible at production scale module design, remote state, environment isolation, and change governance. • Kubernetes cluster operations: lifecycle management, workload reliability, storage, and RBAC at scale. • Full observability stack ownership: Prometheus, Grafana, and/or DataDog SLO definition, alert design, and E2E signal quality. • Strong Python and/or Go production services, not just scripts; automation that touches real infrastructure safely. • Track record of reducing MTTR/MTTD through automation, workflow orchestration, and AIOps tooling. • Executive communication: translating infrastructure health and operational risk into clear narratives for senior leadership. • Demonstrated track record of moving teams from reactive, process-heavy operations to automated, technology-focused models not just managing existing runbooks. Strongly Preferred • Experience operating customer-facing infrastructure or platform services reliability expectations beyond internal tooling. • Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink setup, troubleshooting, and performance tuning. • HPC job scheduler experience: Slurm, LSF, or equivalent setup, tuning, and integration with infrastructure automation. • Multi-cloud hybrid operations: AWS, Azure, GCP alongside on-prem/colo unified observability and IaC across all tiers. • FinOps: cloud spend attribution, TCO modeling across cloud vs. on-prem vs. colo, and translating cost data into workload placement recommendations for engineering and executive audiences. • ITIL knowledge or equivalent structured incident/problem/change management framework experience. • Published technical writing, conference talks, or open-source contributions in reliability, observability, or HPC infrastructure. Estimated Pay Range: 90-120/hr

Job Description Job Description Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Senior Scala Engineer Job Title: Senior Scala Engineer Job Type: Contract Job Location: Sunnyvale, CA Work Schedule: Onsite Description: We are looking for a Senior Scala Engineer to design, develop, and maintain scalable, reliable software applications and data-processing systems. The ideal candidate has strong programming fundamentals and experience building backend services, APIs, and distributed systems using Scala. Responsibilities Design, develop, test, and maintain applications using Scala. Build scalable backend services, APIs, and distributed applications. Work with databases, messaging systems, and cloud platforms. Write clean, maintainable, and well-tested code. Troubleshoot performance, reliability, and production issues. Collaborate with software engineers, architects, DevOps, data engineers, and product teams. Participate in code reviews and contribute to technical design decisions. Develop automated unit, integration, and performance tests. Monitor and improve application performance and reliability. Follow software engineering best practices for security, CI/CD, and version control. Qualifications: 10+ years as a software engineer in Scala Strong functional programming concepts. Experience with JVM technologies and Java. Strong in REST APIs and microservices Strong in Apache Spark Strong in Kafka Experience with Docker and Kubernetes. Experience with SQL and relational or NoSQL databases Familiarity with Akka, Cats, ZIO, Play Framework, or similar Scala technologies. Familiarity with Git and CI/CD tools. Experience with distributed systems and cloud technologies such as AWS, Azure, or GCP. Strong problem-solving and communication skills. Required: Very strong and proven experience in building platforms in Streaming and Messaging troubleshooting and solving problems. Changing the way technology works together to optimize the solution/ process very strong in Linux programming and distributed systems very strong in a few of the following technologies - Apache Spark Apache Flink Apache Kafka Rabbit MQ Language : Scala About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Pramod Kumar for more details. Company Description Maxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone. Specialties: Staff Augmentation Professional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions Outsourced Services, Administration and Support Contingent Workforce Services Company Description Maxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone. Specialties: Staff Augmentation Professional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions Outsourced Services, Administration and Support Contingent Workforce Services

Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. This is a leadership-leaning role with real engineering teeth: you'll mentor engineers, unblock execution, set technical direction, and quietly hold the line on quality across the platform. Responsibilities Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down complex work into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Strong customer-service orientation. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Familiarity with enterprise-scale software deployment architectures. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Experience with frontend UI development. Production-grade software development experience in Java and Python. Experience productizing software as containers with Docker/Kubernetes. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets-all without sharing or copying one another's underlying data. AWS Clean Rooms' provides a broad set of data controls that help protect sensitive data, including query controls, query output restrictions, query logging, cryptographic computing tools, and built-in differential privacy techniques. This secure foundation enables businesses to unlock deeper customer understanding, enhance segmentation accuracy, and measure cross-channel campaign effectiveness. Key job responsibilities - Recruit and develop top talent to achieve the team's objectives. - Establish and steer the team's long-term vision. - Manage resource allocation to meet both business objectives and career development targets. - Participate in strategic planning to achieve technical and business goals. - Collaborate closely with engineers to design and implement optimal technical designs and strategies. - Ensure project timelines are met, prioritizing tasks and managing team workload effectively. - Foster a culture of innovation and continuous improvement within the team. - Maintain close collaboration with cross-functional teams to align software development with overall company goals. - Monitor and ensure adherence to quality standards and best practices in software development. - Provide regular performance feedback and career development guidance to team members. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute. Key job responsibilities This engineer will lead the design and implementation of ML infrastructure platform, building systems for capacity management, workload scheduling, and fleet orchestration across ML accelerators. They will work with ML scientists, training infrastructure engineers, hardware teams, and internal customers to ensure the ML Infra service delivers seamless ML Accelerator access with low wait times, high utilization, and zero-config deployment from various environments. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team High-impact, high-visibility: You'll directly accelerate every Neuron team's ability to ship - your work multiplies the output of 100+ engineers Greenfield opportunities: We're actively building new capabilities with significant design ownership for SDEs Small, senior team: where every person owns major components and drives architectural decisions AI infrastructure: Work at the intersection of Kubernetes, custom silicon, and large-scale ML workloads Diverse Experiences We value diverse experiences and non-traditional career paths. If your career is just starting or includes alternative experiences, we encourage you to apply. Inclusive Team Culture Our employee-led affinity groups foster inclusion. Events like CORE and AmazeCon inspire us to embrace our uniqueness. Work/Life Balance We strive for flexibility as part of our working culture, supporting you both at work and at home. Mentorship & Career Growth We offer knowledge-sharing, mentorship, and one-on-one code reviews to help you grow as a professional. Hybrid Work This role is onsite, with flexibility to work remotely when you're unable to make it into the office. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers - Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS - Experience in Kubernetes, Docker or containers ecosystem, or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture - Experience with version control systems and CI/CD pipeline implementation - Strong proficiency in Go/Java, Python, and Javascript/Typescript - Application and kernel performance profiling and optimization - Proficiency in integrated software/hardware performance analysis and optimization - Experience designing and operating production services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets-all without sharing or copying one another's underlying data. AWS Clean Rooms' provides a broad set of data controls that help protect sensitive data, including query controls, query output restrictions, query logging, cryptographic computing tools, and built-in differential privacy techniques. This secure foundation enables businesses to unlock deeper customer understanding, enhance segmentation accuracy, and measure cross-channel campaign effectiveness. Key job responsibilities - Recruit and develop top talent to achieve the team's objectives. - Establish and steer the team's long-term vision. - Manage resource allocation to meet both business objectives and career development targets. - Participate in strategic planning to achieve technical and business goals. - Collaborate closely with engineers to design and implement optimal technical designs and strategies. - Ensure project timelines are met, prioritizing tasks and managing team workload effectively. - Foster a culture of innovation and continuous improvement within the team. - Maintain close collaboration with cross-functional teams to align software development with overall company goals. - Monitor and ensure adherence to quality standards and best practices in software development. - Provide regular performance feedback and career development guidance to team members. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually