Traild: Who are we? Traild is a high-growth SaaS company transforming how finance teams manage Accounts Payable; automating and protecting the entire process from invoice capture through approval, and payment. Every year, billions of dollars are lost to payment errors and fraud. Traild exists to solve this, without slowing businesses down. With rapid customer growth, global expansion across APAC, North America and EMEA, and continued investment in product innovation, we are at a defining stage of our journey. This is an opportunity to help shape the next category leader in finance automation and security - solving real financial risk at scale and building technology that protects meaningful volumes of global transactions. If you’re excited by high growth, real ownership, and building something that matters, Traild is the place to do the most impactful work of your career. Hear how Traild customers speak about us here. The Role: Want to be a part of our exciting growth journey? We are looking for a talented and motivated individual to join our growing team, where you will play a critical role in designing and developing new products and features. You will be working on a true global system running out of multiple data centers around the world. We work in a microservices + event driven architecture using Google Cloud. We're building a next-generation Accounts Payable automation solution that integrates deeply with our customers'' most important systems You will be working in a highly trusted environment where you will be tasked with working on the whole end to end solution, from initial discussions through to deployment. We are a team that truly cares about our customers, from fast response times, to listening to their feedback, to continuing to drive the product forward. The work you do will be used and appreciated by our customers. What we look for - Experience working with a modern typed language (e.g., C#, Java, Go, or similar) in a cloud-native environment. - Exposure to microservices and event-driven architectures. - A customer-focused mindset — someone who cares deeply about understanding and helping customers and sees their success as our success. - Comfortable in a remote-first, globally distributed team, with strong communication and collaboration skills. - A strong collaborator with a growth-oriented mindset, hands-on execution, adaptability, and scale-up spirit. The Perks of Working at Traild - Flexibility: we offer a range of remote, hybrid and flexible working options. - Global team: we are growing across APAC, NA and EMEA and have team all across the world. - Our team genuinely loves working at Traild: we scored an 85 on our recent 2025 eNPS survey. Please note that the final applicants for this job will be asked to consent in writing to a police check / criminal background check to the extent permitted by law in your jurisdiction of employment.

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Title: Staff Engineer, Developer Productivity Location: Work From Home, United States, Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale Full time job requisition id JR-202519857 Job Description This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale], you are expected to report to that location three times a week, at minimum. About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. The Role We are looking for a Staff Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This engineer will start delivering impact through observability frameworks and will evolve depending on business needs, but they will be expected to identify high ROI investments with minimal guidance. What You’ll Do (Responsibilities) - Communicate with executive presence by presenting to leadership, initiating org‑wide programs, and building/socializing complex roadmaps decomposed into workstreams, milestones, and timelines to align stakeholders and secure buy‑in. - Scale engineering culture and talent by running large trainings, coaching leads and ICs, defining interview loops, identifying gaps, creating coaching plans, and staffing workstreams appropriately. - Secure delivery under pressure by driving collaboration, crisis response, conflict resolution, and stakeholder buy‑in, while mentoring teammates to land the roadmap and managing vendor relationships when relevant. - Model and improve culture by exemplifying company values and sharing focused feedback with managers, HRBPs, and skip‑levels. - Deliver high-quality, exclusive solutions on expedited timelines by operating autonomously and hitting deadlines. - Set roadmaps and workstream priorities with managers by aligning scope, sequencing, and resources. - Restore execution health by finding gaps early and partnering with managers and L8/L7 leads to adjust, pivot, and replan roadmaps and workstreams. - Secure outcomes by driving collaboration, crisis response, conflict resolution, and stakeholder buy-in; mentor teammates to ensure delivery. - Simplify at scale by identifying and acting on opportunities to remove complexity and redundancy. - Advance the state of the art by prototyping high-risk ideas, tracking academia, and hitting top performance. - Lead decisions and quality by acting as a technical authority and modeling best practices in code, testing, and docs. - Ship breakthroughs by opening new areas, delivering key contributions, and refining requirements with stakeholders. - Architect and execute by setting strategy and roadmaps, breaking down work, aligning stakeholders, and managing dependencies. - Optimize systems and teams by simplifying, cutting redundancy and tech debt, improving tooling, mentoring, and representing cross-org dependencies. Minimum Qualifications (Must-Have) - Leadership experience: 5+ years of experience leading software or site reliability engineering (SRE) teams and balancing the tradeoff between velocity and reliability - Bachelors Degree in Computer Science or related field or equivalent work experience - Observability expertise: Deep understanding of core observability pillars: logs, metrics, and traces. Experience with technologies like Prometheus, Grafana, OpenTelemetry, and log management systems is crucial - Software architecture: Strong background in designing, developing, and architecting distributed systems, cloud-native applications, and microservices - Programming proficiency: Familiarity with Go, Python, Typescript or similar along with software development practices to inform code reviews and architectural decisions - Cloud infrastructure: Experience with modern cloud offerings like GCP, AWS, or Azure and technologies like CI/CD pipelines, Kubernetes, and Docker - Communication skills: Excellent interpersonal and communication skills to collaborate effectively with diverse teams and stakeholders Preferred Qualifications (Nice-to-Have) - 7+ years of experience software engineering or site reliability engineering (SRE) teams. - Experience working with GCP, AWS, or Azure - Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing) - Skilled in defining and instrumenting SLIs and SLOs - Own or contribute to Open Source projects - Passion for self-driving technology and its potential impact on the world Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role: is $180,000 to $235,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #GM-AV-1 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel 25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Title: Senior Quantitative Developer Location: 245 Summer St, Boston MA Job Description: time type Full time job requisition id 2127226 Job Description: Position Description: Builds high quality, robust, and efficient analytical solutions to improve internal investment processes with quantitative techniques and methods, statistics and econometrics – including probability, linear regression, and time series data analysis. Executes programming deliverables using R, Java, SQL, and Linux. Participates in full stack development projects on the frontend User Interface (UIs) and back-end Application Programming Interfaces (APIs), using Python, R, and SQL. Applies data mining, data modeling, Natural Language Processing (NLP), and Machine Learning (ML) to extract and analyzes information from large structured and unstructured datasets. Develops and implements complex techniques or analytics applications to transform raw data using data-Oriented Programming languages and visualization software. Primary Responsibilities: - Develops analytical solutions. - Develops and monitors portfolio personalization tools and efforts. - Enables users to run customized portfolio optimizations based on personal inputs. - Ensures all coding test cases are properly defined. - Applies sophisticated analytics and quantitative concepts to support investment needs and develops new solutions. - Adds scale, rigor, and repeatability to research through software development standard methodologies. - Reviews and ensures code format and quality satisfy the general engineering standard, and code documentation is sufficient. - Builds high quality, robust, and efficient analytical solutions to improve investment processes. - Analyzes and interprets statistical data to identify differences in relationships among sources of information. - Evaluates technical data to determine effect on designs or plans. - Identifies relationships and trends in data to determine effects on research results. - Provides technical support to production applications to ensure their stability, performance, and reliability. Education and Experience: Bachelor’s degree in Mathematical Finance, Quantitative and Computational Finance, Engineering, Statistics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts. Or, alternatively, Master’s degree in Mathematical Finance, Quantitative and Computational Finance, Engineering, Statistics, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts. Skills and Knowledge: Candidate must also possess: - Demonstrated Expertise (“DE”) supporting quant researchers and portfolio engineers by developing quantitative software, using R, Python, Shell Scripting, Git, or SQL; accessing database tables via SQL queries using data from financial data vendors (Bloomberg and MorningStar) in financial calculations; and applying financial methodologies (Linear Regression, Time Series Analysis, or Monte-Carlo Simulation) in the development of applications, subsystems, services, or scripts, to support and enhance portfolio risk analytics. - DE supporting quantitative software development using quantitative concepts and valuation techniques applicable to financial instruments (bonds, stocks, mutual funds, and Exchange Traded Funds (ETFs)); and categorizing financial instruments based on their characteristics to improve portfolio performance and streamline risk management processes, using Python and SQL, to develop risk management algorithms, automate data analysis, and generate comprehensive risk reports. - DE developing quantitative models and performance reports, using Python, Shell, GitHub, SQL, and Tableau; enhancing model optimization process by supporting CPLEX optimizers for institutional clients; and applying financial concepts (alpha distribution, returns attribution, and risk and turnover decomposition) for the core portfolio construction platforms to support and improve post model analytic reports. - DE automating the build and release of quantitative software applications, using version control tools (Git or GitHub), defect tracking tools (Jira and Datadog), Jenkins, Amazon Web Services (AWS), and Autosys, to perform Continuous Integration/Continuous Deployment (CI/CD); and performing application testing, troubleshooting, and debugging to validate data quality for trading platforms, using Docker, PyCharm Debugger, Visual Studio Debugger, and SQL. Salary: $140,000.00 - $150,000.00/year. #PE1M2 #LI-DNI Certifications Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.