Engineering Jobs

About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. The below role is for our Bengaluru office. Director – Data Science Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of han

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products Stay at the forefront of foundation models, world models, and RL-based agent research Contribute to r

About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches ( ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive

A CAREER WITH POINT72’S MARKET INTELLIGENCE TEAM On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU’LL DO As a sector analyst, you will work with alternative data to gather industry context and business fundamentals. You will then partner with our team of data scientists and engineers to develop analyses that you deliver as synthesized insights to our investment professionals to help aid in their research processes. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will: Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage Produce research for internal consumption by our investment professionals across a variety of mediums, including written research reports, verbal communication, and visualization tools Interact directly with our investment professionals to learn the discretionary investment process from them and help drive more informed investment decisions Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data Engineering, as well as Compliance, to source, explore, and transform

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Technical leadership through hands-on development Having a broad impact on architecture and team processes Transforming

Systems Technology Inc. (STI) is a private, employee-owned company (ESOP) that provides engineering consulting and product development with a focus on safety. We are a small company that enjoys many of the perks of start-ups, but we have been in business for over sixty years and have an aggressive growth plan. Being part of STI means being a key contributor in the company while working with a team that spans the range of experience from recent graduates to 20+ year tenure. At STI, we look for business partners who want to be part of something special and contribute to a culture built on transparency, friendliness, innovation, ownership and accountability. If you are of a like mind and enthusiastic about solving challenging, real world, relevant problems, we would love to hear from you. As a 100% employee-owned company, STI understands that employees' individual and collective hard work and dedication will lead directly to the success of the company in the long term. An Employee Stock Ownership Plan (ESOP) gives employees an ownership interest in the company that employs them. What You’ll Do: The Principal Research Engineer executes a variety of highly specialized/technical, business development and leadership activities. This individual provides advanced expertise in the areas of modeling, simulation and/or flight control. This person submits government proposals and is involved in commercial client outreach via networking at conferences and meetings. In addition, this person is responsible for leading commercial consulting contracts. The Principal Research Engineer also manages multiple contracts that involve tracking budgets, ensuring successful deliverables, and managing junior engineers. This person actively engages in company process development and participates in BD related activities. This individual may supervise, and mentor select staff engineers. Will report to the Director of Engineering Services. Supports determining top level technical direction

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. ROLE SUMMARY Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will: Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Deliver research findings to investment teams, portfolio managers, and other internal clients Work within a team to help drive technical innovation through a collaborative R&D process WHAT EXCITES YOU Staying current on the evolving alternative data market and its role in discretionary investing Speaking with experts both inside and outside the Firm to understand data needs and offerings Multi-tasking and switching gears frequently to address the needs of the business Analytical thinking and ability to sift through large unstructured data sets Working in a fast-paced, dynam

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future teammates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 0-4 years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international and domestic trips Monthly team dinners

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future team mates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 4+ years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international trip Monthly team dinners

Qualifications & Experience 8+ years of work experience required with a minimum of 4 years in a product management role. Product Craft: Designing and shipping software consumer facing products. Stakeholder Management: Work closely with Engineering and Business to drive the product roadmap. Ability to organize, manage, prioritize and take tradeoff calls while working with engineering and other stakeholders. Cutting Edge: Be in the know of product/business trends within and areas adjoining the UGC charter and be able to bring the relevant ones to the roadmap. Data/Logic-driven Approach: to work with large quantities of data, insights and business skills to leverage analytics for decision making.

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. ROLE SUMMARY Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Transforming large unstructured, data sets into valuable investment research inputs Learning and working with industry-leading cloud-computing technologies Speaking wit

Your challenge As an Integration Consultant, you focus on the technical analysis and implementation of our integration solutions into our customer’s business systems. Together with our integration architects, your contributions assist with delivering high-quality, fully-tested, and documented solutions by integrating our solution with enterprise systems such as SAP. You are responsible for: Designing and implementing integration workflows. Writing integration scripts. Designing and executing data mapping, data modeling, and data loading. Developing specifications. Analyzing customer needs. Performing testing. Developing integration solutions. About you Essential talents and qualifications: A Bachelor’s or Master’s degree in Computer Science, Mathematics, Industrial Engineering, or similar. A solid background in IT. 1-3 years of experience in systems integration implementations, troubleshooting, or support. Hands-on experience in building complex integrations with a broad variety of application types and technologies. Great analytical and problem-solving skills. A customer-oriented and results-committed attitude. Passionate about working in a multinational, customer-driven environment. A team player who can also work independently. Fluent in English. Willingness to travel. Bonus points if you have: Knowledge of or experience with SAP (PP and MM). Integration experience with enterprise systems like SAP or Blue Yonder. Experience with communication protocols for SAP (through BAPI / RFC), databases, and files. Web services technologies such as HTTP, SOAP, and REST (based APIs). Middleware such as SAP PO and SAP PI. Experience with MES/WMS. Proficiency in data communication or transformation techniques. Hands-on experience in designing, building, testing, debugging, deploying, and managing APIs and integrations. Experience with ETL tools. Technical knowledge of SQL, R, JavaScript, Python, etc. Soft skills ·

We are seeking a skilled and detail-oriented Test Analyst with 3-5 years of experience and a bachelor's degree in Computer Science, Information Technology, Engineering, or a related field to join our dynamic team. The ideal candidate will have a strong background in software testing, with a deep understanding of the software development lifecycle and a passion for ensuring the quality of software products. Key responsibilities include analyzing project requirements, designing test plans and test cases, and performing both manual and automated testing of software applications. The Test Analyst will work closely with developers, business analysts, and other stakeholders to ensure the quality and integrity of the product. This includes participating in Agile ceremonies such as sprint planning, stand-ups, and retrospectives. Additionally, the role involves developing and maintaining automated test scripts, integrating them into the CI/CD pipeline, and generating test reports and metrics to communicate progress and quality to stakeholders. The ideal candidate will possess strong problem-solving skills, a keen eye for detail, and the ability to work effectively in a collaborative team environment. Familiarity with test automation tools like Selenium, scripting languages such as Python or Java, and CI/CD tools like Jenkins is essential. Excellent verbal and written communication skills are required, and experience in Agile/Scrum environments is a plus. An ISTQB certification or equivalent is preferred but not mandatory. This position offers a competitive salary and benefits package, along with opportunities for professional development and career growth.

We are seeking a skilled and detail-oriented Test Analyst with 3-5 years of experience and a bachelor's degree in Computer Science, Information Technology, Engineering, or a related field to join our dynamic team. The ideal candidate will have a strong background in software testing, with a deep understanding of the software development lifecycle and a passion for ensuring the quality of software products. Key responsibilities include analyzing project requirements, designing test plans and test cases, and performing both manual and automated testing of software applications. The Test Analyst will work closely with developers, business analysts, and other stakeholders to ensure the quality and integrity of the product. This includes participating in Agile ceremonies such as sprint planning, stand-ups, and retrospectives. Additionally, the role involves developing and maintaining automated test scripts, integrating them into the CI/CD pipeline, and generating test reports and metrics to communicate progress and quality to stakeholders. The ideal candidate will possess strong problem-solving skills, a keen eye for detail, and the ability to work effectively in a collaborative team environment. Familiarity with test automation tools like Selenium, scripting languages such as Python or Java, and CI/CD tools like Jenkins is essential. Excellent verbal and written communication skills are required, and experience in Agile/Scrum environments is a plus. An ISTQB certification or equivalent is preferred but not mandatory. This position offers a competitive salary and benefits package, along with opportunities for professional development and career growth.

We are seeking a skilled and detail-oriented Test Analyst with 3-5 years of experience and a bachelor's degree in Computer Science, Information Technology, Engineering, or a related field to join our dynamic team. The ideal candidate will have a strong background in software testing, with a deep understanding of the software development lifecycle and a passion for ensuring the quality of software products. Key responsibilities include analyzing project requirements, designing test plans and test cases, and performing both manual and automated testing of software applications. The Test Analyst will work closely with developers, business analysts, and other stakeholders to ensure the quality and integrity of the product. This includes participating in Agile ceremonies such as sprint planning, stand-ups, and retrospectives. Additionally, the role involves developing and maintaining automated test scripts, integrating them into the CI/CD pipeline, and generating test reports and metrics to communicate progress and quality to stakeholders. The ideal candidate will possess strong problem-solving skills, a keen eye for detail, and the ability to work effectively in a collaborative team environment. Familiarity with test automation tools like Selenium, scripting languages such as Python or Java, and CI/CD tools like Jenkins is essential. Excellent verbal and written communication skills are required, and experience in Agile/Scrum environments is a plus. An ISTQB certification or equivalent is preferred but not mandatory. This position offers a competitive salary and benefits package, along with opportunities for professional development and career growth.