Engineering Specialist Jobs

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Responsibilities Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6+ years of hands-on software development experience. Strong foundation in Java and API technologies. Genuine interest in specializing in mainframe/legacy systems technology as a long-term career direction. Core Technical Skills – Java, APIs & Modern Stack Working knowledge of Java, used for the Sola IDE and one of the Sola runtime implementations. Experience with RESTful and SOAP web services, including how they're designed, secured, and exposed from backend systems. Familiarity or hands-on experience with API management gateways (e.g., Akana, Apigee, MuleSoft, Kong, or similar) — Sola's core purpose is exposing mainframe assets as governed, gateway-managed APIs. Working knowledge of JavaScript, used extensively within the Sola IDE. Experience with SQL/NoSQL databases, including DB2, Oracle, MS SQL, and/or MySQL. Working knowledge of CI/CD tools and pipelines. Requirement Mainframe & Legacy Systems – Growth Track (Mentorship & Training Provided) These skills will be

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

Company Description Quantum Systems Management Pvt. Ltd. (QSMPL) is a multidisciplinary consulting firm specializing in Sustainability, ESG, Social Compliance, Technical Audits, Environmental Assessments, Supply-Chain Security, and ISO Management Systems. The company works with organizations across manufacturing, textiles, leather, apparel, electronics, engineering, and global supply chains to strengthen responsible business performance and meet international standards. QSMPL supports clients with ESG strategy, reporting, governance, stakeholder engagement, and disclosure aligned with leading global frameworks. The firm also conducts comprehensive social, environmental, and techno-social assessments, including worker wellbeing, responsible sourcing, and chain-of-custody systems. Combining technical depth, industry experience, and a sustainability-focused approach, QSMPL helps organizations build compliant, efficient, and future-ready systems. Role Description It is a full-time, on-site role based in Kolkata. The role involves planning, coordinating, and executing social, technical, environmental, and ISO audits for clients across diverse industry sectors. The Project Executive will review documentation, collect and analyze data, conduct on-site assessments, interview stakeholders and workers, and prepare clear, concise audit reports and improvement plans. Responsibilities include supporting clients with compliance gap analysis, corrective action plans, ESG and sustainability-related documentation, and readiness for buyer, brand, and certification audits. The role also includes collaborating with internal teams, maintaining up-to-date knowledge of relevant standards and frameworks, and contributing to training, client presentations, and continuous improvement initiatives. Qualifications Strong understanding of compliance, social audits, and ethical trade frameworks (e.g., BSCI, SMETA, SA8000, SLCP, Higg FSLM, WRAP, ICS or similar). Knowledge of ISO and management

We are a Leading Delhi Based Consultant, currently we are hiring for our client for Noida Location. Designation: Software Developer - React, PHP Desired Experience: 3 - 6 Years Qualification: UG: B.C.A. in Computer Applications (General), B.Tech / B.E. in Computer Science and Engineering (CSE) PG: M.Tech in Computers, MCA in Any Specialization. Job Location: Noida Sec - 61 (WFH/Work from Home Available) Total Employees: 80+ Members Working Days: Monday to Friday Key Responsibilities Develop and maintain web applications using React.js and PHP. Build reusable and responsive UI components. Design and develop RESTful APIs and backend services. Integrate front-end applications with backend APIs. Optimize application performance, scalability, and security. Troubleshoot, debug, and resolve application issues. Collaborate with designers, project managers, and other developers. Write clean, maintainable, and well-documented code. Participate in code reviews and follow development best practices. Manage database design, development, and optimization. Required Skills Frontend Strong experience with React.js. Proficiency in JavaScript (ES6+), HTML5, CSS3. Experience with Redux, Context API, or other state management libraries. Knowledge of responsive web design principles. Familiarity with Bootstrap, Material UI, or Tailwind CSS. Backend Strong experience with PHP. Experience with PHP frameworks especially CodeIgniter. Knowledge of REST API development and integration. Understanding of authentication and authorization mechanisms. Database Strong knowledge of MySQL/MariaDB. Experience in database design, optimization, and query performance tuning. Tools & Technologies Composer and NPM. Web servers such as Apache. Qualifications Bachelors degree in computer science, Information Technology, or related field. 3 - 6 years of experience in React.js and PHP development. Strong problem-solving and analytical skills. Good communication and teamwork abilities. Experience

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements. Location: Ottawa (preferred) or Montreal or T

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

About the Team The Product Marketing team shapes how OpenAI brings its research, models, and products to market. We work across Research, Product, Engineering, Sales, Communications, and Marketing to translate technical advances into clear customer value, compelling market narratives, and go-to-market strategies that drive meaningful adoption. About the Role We’re looking for a senior product marketing leader to shape how OpenAI’s models and research are understood and adopted around the world. You’ll work directly with frontier research teams to understand emerging capabilities and translate them into compelling product strategies, market narratives, and customer experiences. Your scope will span frontier models, specialized models for cybersecurity and life sciences, multimodal capabilities, and the API portfolio that makes these systems accessible to developers and businesses. You’ll build and lead the team responsible for helping customers understand what our models can do, how they’re evolving, and how to deploy them responsibly. In this role, you will: Define the product marketing strategy for OpenAI’s models, research advances, and API portfolio. Embed with Research, Product, and Engineering to understand model capabilities, evaluations, limitations, and technical tradeoffs. Shape how OpenAI explains advances in AI to developers, business leaders, and the broader market. Lead positioning, launches, demonstrations, and adoption strategies across frontier, specialized, and multimodal models. Help customers navigate model selection, API access, privacy, security, and responsible deployment. Bring customer and market insights into research and product decisions. Partner with Sales, Solutions, Partnerships, and regional teams to develop customer narratives, use cases, and enablement. Work with Communications, Safety, Policy, and Legal to ensure technical claims are accurate and grounded. Build and lead a high-performing product marketing team and define success ac

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

Associate Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for an Associate Software Engineer to support the ADaPS organization in Huntsville, AL. ADaPS (an organization of over 100 software engineers) supports programs across the entire portfolio of Boeing products including Space Launch Systems (SLS), Satellite Efforts, and Advanced Missile Defense efforts including Patriot Advanced Capability (PAC3) and Integrated Fires Protection Capability 2nd Interceptor (IFPC – 2). ADaPS specializes in implementing rapid prototyping and development programs using small, adaptable agile teams. Position Responsibilities: Assists with the development and fielding of flight software for seeker systems Assists with the design and development of test software for seeker software Assists with the development and integration of Weapons Open System Architecture Framework Domains into missile and weapons systems Assists with the development firmware and its integration with hardware/software Works in small agile teams composed of diverse engineering skills Use your talents to tackle complex problems on a variety of programs Develops technical products, plans, documentation, and briefings in support of program requirements Assists with review, analysis and translation of customer requirements into initial design of software products Supports development, documentation and maintenance of architectures, requirements, algorithms, interfaces and designs for software products Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires

Senior DevSecOps Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for a Senior DevSecOps Software Engineer to support the ADaPS organization in Huntsville, AL. ADaPS (an organization of over 100 software engineers) supports programs across the entire portfolio of Boeing products including Space Launch Systems (SLS) Upper Stage, Satellite Efforts, and Advanced Missile Defense efforts including Patriot Advanced Capability (PAC3). ADaPS specializes in implementing rapid prototyping and development programs using small, adaptable agile teams. Position Responsibilities: Oversees establishment and maintenance of modern software development environments, with formalized processes for development, implementation, integration, testing, documenting, and deploying software changes Works collaboratively with software engineering teams to deploy and operate systems Oversees development and maintenance of continuous integration / continuous delivery (CI/CD) pipelines Oversees automation and streamlining of operations and processes that support software testing, including script development as needed Builds and maintains tools for deployment, monitoring, and operations Communicates technical content to stakeholders Analyzes, plans, and executes mitigation strategies to prevent potential security risks, threats, and vulnerabilities Troubleshoots and resolves issues in development, testing, and production environments Supports software development and testing operations. Performs software research and trade studies Security Clearance: This position requires the ability to obtain a U.S. Se

Become a part of our caring community The Senior Process Improvement Professional analyzes and measures the effectiveness of existing business processes and develops sustainable, repeatable and quantifiable business process improvements. The Senior Process Improvement Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Process Improvement Professional researches best business practices within and outside the organization to establish benchmark data. Collects and analyzes process data to initiate, develop and recommend business practices and procedures that focus on enhanced safety, increased productivity and reduced cost. Determines how new information technologies can support re-engineering business May specialize in one or more of the following areas: benchmarking, business process analysis and re-engineering, change management and measurement, and/or process-driven systems requirements. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Use your skills to make an impact Required Qualifications The Sr. Process Improvement Professional must meet one, (1) of the following requirements: Licensed Professional (LSW) in the state of Kentucky OR ability to obtain, Master’s degree from an accredited university or college in social work, psychology or related health and human services area with a minimum of one, (1) year professional experience in case management.

We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joi

We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-oiled machine responsible for generating key investment insights that drive trades. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of evaluating and integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in the data space. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science, machine learning, AI, and process engineering skillsets to accelerate the Quantitative Equity Team’s data preparation and modelling functions. Your specialized role will involve building, scaling, managing and evaluating our integrated data model, in direct support of alpha research. You will be supported with coaching and mentorsh

Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. Training: Develop and deliver IP and data licensing trainin