Practice Manager Jobs

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis Build with modern tools and languages like Rust, Go, GraphQL, Node, and Kubernetes Build backend distributed services, new algorithms and modern API to support a cloud application Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user base Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies Qualifications We Need 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience SQL query optimization and database internals Administered cloud service infrastructure (GCP, AWS, Azure) Prior experience working at high growth company solving technical problems to enable continued success Additional Job details The base salary range for this position is $170k - $240

POSITION SUMMARY Full Stack Developer skilled in PHP, Angular, and MariaDB/MySQL to build scalable, secure, and high‑performance web applications. Key Responsibilities Develop and maintain backend services using modern PHP and MariaDB/MySQL. Build RESTful APIs and integrate them with Angular applications. Develop responsive UI components using Angular, TypeScript, HTML5, and CSS/SCSS. Modernize legacy AngularJS components to Angular. Implement authentication/authorization (OAuth, SAML, JWT, MFA) and follow OWASP security practices. Work with Docker, Git/GitHub, and CI/CD pipelines. Monitor and optimize frontend and backend performance (Sentry, CloudWatch). Participate in Agile/Scrum processes and conduct code reviews. EXPERIENCE REQUIRED 4+ years backend experience with PHP. 2+ years frontend experience with Angular (Angular 2+). Strong database design and SQL optimization experience. Experience with REST APIs, RxJS, Docker, and CI/CD. Familiarity with AWS is a plus. QUALIFICATIONS, SKILLS, & KNOWLEDGE Bachelor’s degree in CS/IT or equivalent experience. Strong knowledge of OOP, design patterns, SOLID principles. Proficiency in PHP, MariaDB/MySQL, Angular, TypeScript, HTML5, CSS3/SCSS. Understanding of web security, accessibility, and performance optimization. Experience with testing tools, API documentation, and Agile development. PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is $25,000-$35,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy

Software Engineer II Location: Hyderabad Experience: 3–5 Years Role Overview Looking for a Software Engineer II with strong Java/Spring Boot development experience. Work on backend and frontend platforms supporting high-volume healthcare transactions . Full-stack experience is a plus, with Angular preferred. Key Responsibilities Develop and maintain applications using Java, Spring Boot, and REST APIs . Work with MySQL, MongoDB, and Redis . Develop integrations with internal services. Write unit and integration tests . Participate in Agile/Scrum ceremonies and production issue resolution. Collaborate with engineers, architects, and Product teams. Follow clean coding practices and established design patterns . Use AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code . Must-Have Skills 2–3 years of software development experience. Strong Java + Spring Boot . REST API development. MySQL or other relational databases. Unit & integration testing ( JUnit or equivalent). Basic AWS/cloud knowledge. Agile/Scrum experience. Strong problem-solving and debugging skills. Good to Have Angular / TypeScript MongoDB / Redis AWS: S3, SQS, RDS, EC2 GitHub Actions / CI/CD Playwright or other automation frameworks Experience with AI-assisted coding tools Ideal Candidate A hands-on Java/Spring Boot developer with good backend fundamentals, cloud exposure, strong debugging skills, and a willingness to work across the stack and adopt modern development tools. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring tog

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. Description We are looking for a DevOps Engineer to strengthen our cloud operations and engineering practices, with a focus on reliable website delivery, secure AWS foundations, and fast but controlled delivery of new services. The position combines AWS operations, infrastructure as code, CI/CD, automation, and pragmatic software engineering. The person should be confident working with services for edge delivery, compute, storage, databases, DNS, security, and observability without relying on manual console changes as the default operating model. The role also supports on-premises to cloud migration, global service optimization, and practical responses to increasing AI-driven traffic. We value candidates who can use modern AI-assisted development effectively to spin up proof-of-concept projects quickly, while still applying disciplined Git, review, security, and deployment practices. About you You enjoy building stable, secure, and maintainable infrastructure that supports business-critical services. You can work independently and take ownership of cloud environments, deployments, and operational improvements. You are comfortable balancing speed, reliability, cost, and security when making technical decisions. You communicate clearly with technical and non-technical stakeholders and explain trade-offs in a practical way. You document your work well and create clear runbooks and support material for future maintenance. You are methodical when troubleshooting incidents and stay calm when systems are under pressure. You are curious about modern traffic patt

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Build software used to support global trading across time zones • Work closely with business users to establish and refine requirements • Participate in identifying new technologies to continuously improve software systems • Implement DevOps practices within the team (GitHub/GitLab, Jenkins) • Provide production support to diagnose and resolve elevated application software production incidents and implement proactive remediation measures WHAT’S REQUIRED • Bachelor’s degree in computer science or another technical/scientific field • Minimum 8 years object-oriented programming experience with C#/.NET • Significant experience working with / understanding databases - primarily MS SQL Server • Must have experience in writing automated tests, unit tests, Test-Driven Development • Knowledge of design/architecture patterns, distributed systems, microservices, observability and monitoring, and containerization (Docker) • Willingness to work as part of a distributed Dev Team - 3 time zones (USA, Poland, India) • Strong problem solving and analytical skills • Exceptional verbal and written communication skills • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Health care benefits • Maternity, Adoption & related leave policies • Generous paternity and family care leave policies • Employee Assistance Prog

Position Overview The Senior Solutions Sales Executive is a strong solution specialist with deep working knowledge of Diligent’s Risk & Audit products. This role supports revenue growth by understanding customer needs, positioning the right solutions, and helping customers address specific and sometimes complex Risk & Audit challenges. This is an individual contributor role focused on engaging with customers, supporting opportunities, and partnering closely with Account Executives throughout the customer journey. As a trusted solution partner, the Solutions Sales Executive II provides product and domain expertise during co-selling and solution discussions, helping to influence customer decisions. The role also includes contributing to shared learning by exchanging knowledge and best practices with peers across the sales organisation. This position suits a commercially aware, collaborative professional who enjoys working in a solution-led sales environment, influencing outcomes through expertise, and consistently delivering results while living Diligent’s values. Key Responsibilities Demonstrates strong technical and domain knowledge of Diligent’s Risk & Audit products and solutions. Applies sound judgment, product expertise, and analytical thinking to recommend solutions that address customer challenges, including more complex use cases with appropriate support. Uses a solution-selling approach to understand customer needs and develop tailored solutions aligned to the Diligent One Platform. Maintains high levels of prospect engagement and satisfaction through proactive outreach, relevant insights, and consistent follow-up to support opportunity creation and progression. Partners with the Sales team on account planning, proposals, presentations, and other sales materials that clearly articulate solution value and technical capabilities. &n

Position Overview: As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements. This role is ideal for a mid-level engineer who writes solid code and embraces AI-powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows. Key Responsibilities Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services. Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production. Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements. Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment. Required Experience/Skills 3–5 years of professional software engineering experience in an agile, fast-paced environment. AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics). Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness). Cloud & infrastructure basics: Hands-on with AWS ser

Position Overview: We are excited to introduce a newly created Senior HR Business Partner role, partnering directly with the Senior Leadership Team (SLT) to drive organizational effectiveness, leadership capability, and strategic workforce planning across the business. Central to the role is holding senior leaders accountable for their own growth as leaders: coaching them with the same rigor they are expected to apply to their teams, so that as leaders level up, their team’s level up alongside them. You will help drive effective people practices by balancing business priorities with employee experience and will play a key role in evolving Diligent’s HR operating model toward more strategic, AI-enabled ways of working. The ideal candidate is collaborative, business-minded, and solutions-oriented, with strong judgment, communication skills, and the ability to build trusted relationships with senior stakeholders – while being direct enough to hold them to account. Key Responsibilities Serve as a senior strategic HR partner to the Senior Leadership Team (SLT) for an assigned business unit or regional pod, leading org design, talent planning, succession planning, and coaching. Develop the people strategy for the business unit or function you support, in partnership with senior leadership, translating business strategy and objectives into a people plan that delivers maximum impact. Lead strategic workforce planning for the business unit — including how work is organised across people and AI agents — and navigating the balance between building AI capability and developing the human skills needed for the future in an AI-first organisation. Partner with the HR Director on implementation and functional roll-out of the broader people strategy. Lead the business unit’s talent and performance cycles, including goal-setting/OKR cadence, SLT-level calibrations, compensation review for the SLT-and-below population, and 9-box grid review. Drive turning workforce, engageme

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly What We’re Looking For: 4+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries fo

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You’ll Do Own major full-stack product areas , driving features from design through production deployment. Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. Adapt quickly —learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience 5+ years of full-time engineering experience , post-graduation. Strong experience developing full-stack applications using React, TypeScript, and Python . Experience scaling or shipping products at high-growth startups . Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). Proficiency with SQL and modern API development. Experience with Kubernetes , containerization, and microservice architectures. Experience working with at leas

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals. We are looking for a highly skilled Lead Software Engineer to join our team on a full-time, permanent basis. In this role, you will lead the design and implementation of robust, scalable systems, provide technical direction to the team, and take ownership of end-to-end delivery. You will play a key role in building high-quality solutions across APIs, microservices, and integrations, while driving engineering excellence and best practices. As our Lead Engineer, you will be required to: Design, code, and unit test platform and integration components Develop frameworks for standardizing and enabling data flows via APIs, files, microservices, and message queues. Provide technical guidance to the team and take ownership of delivery Responsible to technically groom backlog items providing design, architecture, and implementation details Quality is the key driver to product engineering, ensure highly testable and quality deliverables To apply for this role, you should possess the following skills, experience and qualifications: Minimum 8+ years of strong programming experience on .NET platform, Microsoft Tech Stack Expertise in C#, ASP.NET Web API / Typescript / Angular (or any front-end framework or passion to learn Angular) Experience developing with containers, micro-services, and message queues Dedication to delivering high-performance, secure and scalable services Experience working with a wide variety of systems and integrating APIs from third parties Hands on experience with SQL and query optimization Analytical and troubleshooting skills to investigate and resolve issues Ability to dig through Memory, CPU and IO bottlenecks to improve performance and scalability Azure experience is a plus Knowledge and experience

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for a Senior Software Engineer to establish our Observability framework and foundations. You will join us to accelerate building and scaling our innovative systems that support our growing identity platform. You will drive on Observability best practices to find and fix gaps in our observability and our overall systems. You will also lead practices such as load testing, capacity planning, game days, chaos testing, and incident post-mortems. What You Will Do: Embed within the Engineering pillar to deeply understand the product and implement observability across all key flows Facilitate and build load testing cases, ensuring we understand the limits and scaling factors of our services and systems Contribute to observability and support the design of new services and systems, ensuring highly reliable and scalable concepts are implemented Build and lead practices such as game days, chaos engineering, and failure analysis Build long-term capacity plans, with an eye toward reliability and cost-efficiency Who You Are: 6+ experience writing production-grade software in a modern language, such as Java and Python. Strong knowledge of distributed systems concepts (think CAP theorem), microservices architecture, and distributed tracing . Experience with modern observability systems such as Datadog. Experience with performance debugging tools and patterns. You should be able to read a f