Software Engineer jobs at Bear Robotics

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT-OSS, Quen and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Pythorch is a must. Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP, Context parallel. Distributed training libraries like torchtitan, torchtune , HF RL , DeepSeek etc are central to this and extending all of this for the Neuron based system is key focussing on enabling large scale training. Experience is post-training strategies like DPO/PPO/HF torch-tune will additional strength and aligns with team success. Key job responsibilities You will lead efforts to build distributed training support into PyTorch, the Neuron compiler, and runtime stacks. You will enable distribute training strategies as well as use them to optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role. About the team Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience in machine learning, large scale training with LLMs and expertise in Pytorch. PREFERRED QUALIFICATIONS- Master's degree in computer science or equivalent - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium. As the SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. About the team About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run really fast on Trainium. As the SDM for the Neuron Inference Technology building blocks team, you will guide your expert AI engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. We're currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming Trainium 3. You will develop and optimize blocks such as attention kernels and deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in optimizing LLMs, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime and collectives. A day in the life You will work with your senior management and technical leaders to define the building blocks for the latest LLMs, build and deliver them to customers. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. About the team About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

I'm hiring an AI Product Engineer for a fast-growing AI start-up that's building agents to automate financial crime workflows. Their tech works like a real analyst inside a browser and internal tools, helping banks cut huge amounts of manual work and stop fraud more effectively. They're small, highly technical, and already seeing strong traction with major institutions. In this role, you'll work across the stack, build end-to-end features, shape new agent capabilities, and help ship production systems that have real impact for customers. We're looking for engineers who: Love building quickly and owning problems end to end Have experience with production systems or AI/ML workflows Communicate clearly and enjoy working with minimal process Want to push what's possible with AI agents in the real world Minimum Bachelor's degree in Computer Science (or adjacent) Their stack is Python, Node, React and Typescript (not a dealbreaker to be experienced with these!) Apply or reach out directly if you're interested!

Optomi in partnership with one of our top clients is seeking a highly skilled Software Engineer with strong experience in building application and shared services, REST APIs, and cloud-native solutions. In this role, you will contribute to the development of the Studio's media platforms and B2B applications that support content fulfillment across the Studio's global supply chain. The ideal candidate will bring strong AWS expertise, proficiency in modern programming languages, and the ability to work cross-functionally within a collaborative engineering environment. What the Right Candidate Will Enjoy! Contributing to high-visibility media platforms and content supply chain applications Building scalable, reusable B2B REST APIs used across multiple business units Hands-on development with TypeScript, Java, Kotlin, or JavaScript Working extensively with AWS serverless tools-including Lambda and API Gateway Solving complex engineering challenges involving identity and access management Participating in a structured, multi-stage interview process that values both technical and collaborative skills Collaborating with engineers, product owners, security teams, and infrastructure partners Delivering features in an Agile environment with opportunities for continuous learning Expanding skillsets across cloud services, API design, and distributed systems Experience of the Right Candidate: 3+ years of industry experience in software engineering STEM Degree Strong focus on application development and shared services Extensive experience with AWS tools and technologies, especially serverless computing and API Gateway Strong proficiency in TypeScript, Java, Kotlin, or JavaScript (TypeScript/Java preferred) Solid understanding of REST API design principles and software engineering best practices Strong communication and problem-solving skills Ability to collaborate effectively within cross-functional teams Experience with databases and identity & access management concepts a plus Comfortable participating in coding assessments and system design interviews Responsibilities of the Right Candidate: Collaborate on the design, development, and deployment of scalable, high-quality software solutions Build, enhance, and maintain API-driven shared services for Studio media platforms Leverage AWS tools and serverless technologies to architect reliable, cloud-native applications Partner closely with product owners, security teams, and other engineering groups to deliver on requirements Participate in Agile ceremonies-estimating work, prioritizing tasks, and delivering iteratively Apply and uphold best practices in coding standards, architecture, and system reliability Contribute to identity and access management services and reusable B2B REST APIs Conduct testing and ensure high-quality deployments across the platform Actively stay current with emerging technologies, industry trends, and engineering best practices Support continuous improvement efforts for development processes, tooling, and automation

Job Title: Senior Software Engineer / Quant Developer (JG3 Level) Duration: Long-term contract with possibility of extension We are seeking a senior-level, hands-on Software Engineer with strong quantitative and analytical skills to support trading and risk activities within the T&S organization. This role requires deep domain expertise in derivatives, futures markets, and financial trading systems, along with strong technical capabilities in Python, PowerShell, SQL, and scripting. Key Requirements This is a JG3 senior-level role requiring both leadership and strong hands-on technical skills. Derivative trade lifecycle experience is mandatory. Deep understanding of global futures exchanges is essential. Background in commodity trading, capital markets, or investment banking strongly preferred. Strong proficiency in Python, PowerShell, and SQL is required. Experience with scripting and automation. Ideal candidates include: Python Developers Quant Analysts / Quant Developers Professionals with an economics or finance background who also have business analysis (BA) experience What This Role Looks Like The Senior Engineer will be responsible for ensuring the accuracy and integrity of trading data and providing actionable insights to support decision-making across the trading organization. Key expectations include: Collaborate with multiple teams within T&S to gather data, understand requirements, and validate information. Build data pipelines, analytical tools, and insight-driven platforms. Provide traders with clear, accurate insights that support real-time decision-making. Apply BA skills to understand business needs, translate them into technical solutions, and ensure alignment with trading strategies. Work cross-functionally with trading, risk, data, and technology teams. This role blends technical engineering, quantitative analysis, and business analysis, making it critical for supporting efficient and informed trading operations. Location & Work Expectations This position is onsite at the Houston OTM office-candidates must be prepared to work in person. Start date: January 15, 2026 Long-term engagement with strong potential for extension.

Job Title: AR/VR Application Developer (Unity Engine + AOSP + Firmware) Work Mode: Onsite (Day 1 at customer location) We are seeking an experienced AR/VR Application Developer to design, build, and maintain high-quality immersive applications using Unity Engine. The role focuses on developing performance-optimized XR (AR/VR) applications integrated with Android (AOSP) and firmware layers, supporting both training simulations and production-grade experiences. The ideal candidate has strong hands-on experience with Unity, C#, and immersive systems, and can manage projects across the full development lifecycle. Key Responsibilities Develop and maintain AR/VR/XR applications using Unity Engine Build interactive and immersive experiences optimized for performance and stability Design and implement end-to-end XR training simulations Maintain, rework, and enhance existing VR and AR applications for production use Collaborate with cross-functional teams including firmware, platform, and system engineers Integrate Unity applications with Android (AOSP) and device firmware Create and maintain technical documentation throughout the project lifecycle Prototype XR solutions and support concept-to-deployment activities Troubleshoot, debug, and optimize applications for real-world deployment Required Qualifications 5+ years of overall software development experience 4+ years of hands-on experience building AR/VR applications in Unity Strong programming skills in C# Solid understanding of XR systems (AR, VR, MR) Experience delivering high-quality, performance-optimized Unity applications Experience working with Android platforms (AOSP) and firmware integration Strong problem-solving and debugging skills Excellent verbal and written communication skills Preferred Qualifications Experience developing XR training simulations for enterprise or defense environments Familiarity with Android system internals and hardware integration Experience working on full project lifecycle, including design, development, and documentation Knowledge of performance profiling and optimization in Unity Experience working in an Agile development environment Additional Information Onsite role - candidates must be available to work onsite from Day 1 Ability to collaborate effectively in a fast-paced, cross-functional team environment.

Who are we? Whatfix is an AI platform advancing the “userization” of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It's no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around. At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work. This intelligence powers our entire product suite. Digital Adoption helps users get productive faster. Product Analytics uncovers friction and closes adoption gaps. Mirror allows employees to train in safe, simulated environments. These are ur embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance. Our upcoming AI-first products are already creating a buzz in the market. Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf. Whatfix Mirror 2.0 is the world's only System plus Role simulation with a complete assessment to lead the Gen AI simulation category. Together, these products reflect Whatfix's commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers. Whatfix is bridging the gap between rapid technological change and human enablement-ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee. At Whatfix, we're not just making software easier-we're making AI work for people. The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions. Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners. Whatfix's leadership is consistently recognized across top industry analysts and business rankings: Won the 2025 AI Breakthrough Award for the Overall AI-based Analytics Solution of the Year Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group. With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards. Named a Gartner Customers' Choice for DAP for the second year in a row (2024 and 2025)-the only vendor in the market to earn this distinction consecutively. We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8% Stevie Award winner in the category (Bronze): Customer Service Department of the Year - Computer Software - 100 or More Employees. Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category. RemoteTech Breakthrough Awards winner for “Software Asset Management Solution of the Year” These recognitions are matched by business performance: Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fifth Consecutive Year Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list. Won the Silver for Stevie's Employer of the Year 2023 - Computer Software category and also recognized as Great Place to Work 2022-2023 Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal Title: Senior Software Engineer - Reliability & Kubernetes (E5) Location: San Jose, CA (Onsite), About the Role: We are looking for an experienced Software Engineer (E5) who is passionate about building systems that are resilient, observable, and designed for scale from day one. This role sits within our Reliability Engineering charter and focuses on strengthening the core platform that powers all Whatfix products - including our next-generation AI offerings. You will design and implement reliability frameworks, evolve our Kubernetes-based infrastructure, and create automation that allows engineering teams to operate their services with confidence. This is a senior individual contributor role where you will directly influence system architecture, lead reliability initiatives across teams, and mature the technical foundations required to support our enterprise and federal customers. Candidates must be authorized to work in the United States on a full-time basis without employer sponsorship, either now or in the future. What You'll Own Architect and deliver platform components that improve reliability, fault tolerance, and system performance Build reusable tooling and automation to reduce manual operations and scale reliability practices across engineering Lead the design and rollout of observability and monitoring frameworks that give teams deep visibility into their services Serve as a technical escalation point for critical incidents and drive long-term remediation through blameless RCAs Strengthen our Kubernetes platform with better automation, deployment workflows, and resource efficiency Partner with engineering, platform, and product teams to define SLIs/SLOs and embed them into how we operate services Support on-prem and regulated environment deployments by ensuring high availability and compliance requirements are met What You'll Bring Strong hands-on programming experience in Java (plus Python or Go is a bonus) Expertise running and scaling Kubernetes workloads in production environments Experience with GitOps practices and tooling (ArgoCD, Helm) Strong grounding in CI/CD, infrastructure as code, and automated deployment pipelines Background in observability (metrics, logs, traces) and designing systems that are measurable and diagnosable Proven experience driving post-incident reviews and converting findings into permanent engineering improvements Ability to break down complex distributed systems problems into practical, high-impact solutions Nice-to-Have Experience Log aggregation tools or stacks (e.g., ELK) Chaos engineering or resilience testing approaches Building internal developer platforms or reliability frameworks Exposure to large-scale or regulated enterprise environments Who Thrives in This Role Engineers who enjoy working across systems, infrastructure, and platform layers ICs who like solving ambiguous problems and setting high technical standards People who think in automation, self-healing patterns, and long-term system health Engineers who want their work to directly influence the reliability posture of company-wide products Soft Skills That Matter Strong ownership and problem-solving mindset Ability to collaborate across multiple engineering groups Clear communication, especially during high-pressure incident scenarios Mentoring and uplifting other engineers through reviews, patterns, and best practices Perks / Benefits Uncapped incentives Equity plan Mac shop, work with the newest technologies Unlimited PTO policy Paid maternity/paternity leave Monthly cell phone stipend Paid UberEats lunches-daily Medical, Dental, and Vision coverage (Whatfix pays 80% of the premium for individuals and their families; for the HSA, Whatfix contributes $1,000 for individuals and $2,000 for a family) Team and company outings Learning and Development benefits At Whatfix, we value collaboration, innovation, and human connection. We believe that working together in the office five days a week fosters open communication, strengthens our community, and drives innovation, helping us achieve our goals more effectively. To facilitate global collaboration, our US teams start and end early, while our India teams start and end late. US teams do not have any evening meetings. Relocation and Sponsorship offered. We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust is the foundation; and Do it as you own it. Whatfix is an Equal Opportunity Employer and an E-Verify participant. All activities must comply with our Equal Opportunity Laws, ADA, and other regulations, as appropriate. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation will be determined by factors such as level, job-related knowledge, skills, and experience. Due to our company's global nature and our hiring committee's span of different time zones, the interviews for this role will be recorded for those not in attendance to review.

Senior Ruby on Rails Engineer - Enterprise Application Modernization | Hybrid in Burbank, CA, Seattle/Orlando/NYC/Bristol | Long-Term Contract/W2 Only! . Optomi, in partnership with a global leader in media and entertainment, is seeking a Senior Ruby on Rails Engineer for a hybrid role based in Burbank, CA, Seattle, Orlando, New York City, or Bristol. This engineer will join a modernization initiative focused on transforming a suite of enterprise Ruby on Rails applications, reducing technical debt, enhancing UI, and implementing modern cloud and deployment technologies. This is a high-impact opportunity to elevate critical internal systems used across the organization. What the right candidate will enjoy: Working onsite at a major studio with long-term project stability! Leading modernization efforts for widely used enterprise applications! Hands-on contributions to cloud modernization (AWS), containerization, and UI updates! Collaborating with senior engineers in a high-performance, innovation-driven environment! Experience of the right candidate: Bachelor's degree in a STEM field + 5 years relevant experience; STEM degree required. 10+ years of professional software development experience, with expert-level Ruby on Rails and strong Ruby fundamentals. 5+ years building front-end applications using React or similar modern JS frameworks. 3+ years working with performance and caching technologies such as CloudFront, Redis, Batcache, ElastiCache, etc. Strong knowledge of software design patterns, engineering principles, and modern best practices. Deep experience with AWS, cloud-native architectures, and containerization (Docker/Kubernetes). Strong experience using SDLC tools (Jira, Confluence, Git/GitLab/GitHub). Excellent problem-solving abilities with strong attention to detail and code quality. Preferred Qualifications: Background in DevOps, CI/CD, and modern deployment pipelines. Experience with highly secure or compliance-heavy applications. Proven success delivering scalable, highly available N-tier applications. Strong understanding of multiple SDLC methodologies (Scrum, Waterfall, XP, etc.). Exceptional facilitation, communication, prioritization, and stakeholder engagement skills. Experience working in large-scale, complex enterprise technology environments. Highly organized, extremely detail-oriented, and adaptable to fast-changing priorities. Self-starter with a strong sense of ownership, urgency, and the ability to operate with limited supervision. Responsibilities of the right candidate: Modernize and enhance enterprise Ruby on Rails applications, addressing technical debt and improving UI/UX. Write clean, maintainable, and well-documented Ruby and full-stack code. Troubleshoot complex issues across the full stack and optimize performance. Participate in application design, architectural discussions, and code standards evolution. Conduct code reviews and mentor junior developers. Integrate third-party services, APIs, and cloud-based components. Ensure adherence to best practices including CI/CD, automated testing, and DevOps workflows. Collaborate with cross-functional teams (Product, Design, QA, Engineering) to deliver scalable solutions. Defend technical decisions during interviews and internal reviews, especially when assisted by AI tools. What we're looking for: A senior engineer with deep, hands-on Ruby on Rails expertise. A technical peer-not just an executor-who contributes ideas and challenges assumptions. Strong engineering fundamentals with experience in cloud-native, modern environments. Someone who thrives in collaborative, fast-paced teams and can clearly explain their work. An engineer who values scalability, maintainability, and modernization best practices.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

Lead Software Engineer Optomi, in partnership with a large enterprise financial services organization, is seeking a hands-on Lead Software Engineer to join a growing Enterprise Platforms team. This role focuses on building secure, scalable, cloud-native solutions with strong ownership of API gateway platforms, identity and access management, and modern application architecture. What You'll Do: Act as a hands-on technical lead, designing and delivering enterprise platform solutions. Own API gateway management, including configuration, security policies, and enforcement. Design and implement OAuth 2.0 / OpenID Connect (OIDC) for web, mobile, and service-to-service integrations. Integrate APIs with enterprise identity providers (Okta, Ping, ForgeRock, or similar). Build reusable frameworks for authentication, authorization, token validation, and access control. Collaborate with product, architecture, and engineering teams to deliver scalable solutions. Mentor engineers and drive best practices across API development, security, and deployment. What You Bring: Strong experience with Java, Spring Boot, Node.js, and microservices architecture. Hands-on experience with API gateway platforms such as Apigee, MuleSoft, or similar. Deep understanding of OAuth 2.0, OIDC, and API security patterns. Experience creating and enforcing API gateway policies (security, token validation, routing). Familiarity with AWS, Docker, Kubernetes, and CI/CD pipelines. Experience building 12-factor, cloud-native applications. Proven ability to lead while remaining deeply hands-on. Eligibility: W2 only US-based candidates only No C2C or third-party submissions

Job Title: Senior Software Engineer / Quant Developer (JG4 Level) Duration: Long-term contract with possibility of extension The Senior Data Engineer will design and build robust data foundations and end-to-end data solutions to enable the business to maximize value from data. This role plays a critical part in fostering a data-driven culture across both IT and business stakeholder communities. The Senior Data Engineer will act as a subject matter expert (SME), lead solution design and delivery, mentor junior engineers, and translate Data Strategy and Vision into scalable, high-quality IT solutions. Key Responsibilities Design, build, and maintain enterprise-grade data foundations and end-to-end data solutions. Serve as a subject matter expert in data engineering, data modeling, and solution architecture. Translate business data strategy and vision into scalable technical solutions. Mentor and guide junior data engineers and contribute to continuous capability building. Drive the rollout and adoption of Data Foundation initiatives across the business. Coordinate change management, incident management, and problem management processes. Present insights, reports, and technical findings to key stakeholders. Drive implementation efficiency across pilots and future projects to reduce cost, accelerate delivery, and maximize business value. Actively contribute to community initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP). Collaborate effectively with both technical teams and business leaders. Key Characteristics Highly curious technology expert with a continuous learning mindset. Strong data-domain expertise with deep technical focus. Excellent communicator who can engage both technical and non-technical stakeholders. Trusted advisor to leadership and cross-functional teams. Strong driver of execution, quality, and delivery excellence. Mandatory Skills Cloud Platforms: AWS, Azure, SAP - Expert Level ELT: Expert Level Data Modeling: Expert Level Data Integration & Ingestion Data Manipulation & Processing DevOps & Version Control: GitHub, GitHub Actions, Azure DevOps Data & Analytics Tools: Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Optional / Nice-to-Have Skills Experience leading projects or running a Scrum team. Experience with BPC and Planning. Exposure to external technical ecosystems. Documentation using MkDocs.

About Us Longbridge Securities, founded in March 2019 and headquartered in Singapore, is a next-generation online brokerage platform. Established by a team of seasoned finance professionals and technical experts from leading global firms, we are committed to advancing financial technology innovation. Our mission is to empower every investor by offering enhanced financial opportunities. What You'll Do As part of our global expansion, we're seeking a Data Engineer to design and build batch/real-time data warehouses and maintain data platforms that power trading and research for the US market. You'll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services. Responsibilities: Design and build batch/real-time data warehouses to support the US market growth Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability Build a unified data middleware layer to reduce business data development costs and improve service reusability Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions Discover data insights through collaboration with the business owner Maintain and develop enterprise data platforms for the US market Qualifications 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala) Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL) Strong cross-department collaboration skills to translate business requirements into technical solutions Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields Comfortable working in a fast-moving fintech/tech startup environment Bonus Point: Experience with DolphinScheduler and SeaTunnel is a plus

QPT has been engaged by a dynamic and rapidly growing company dedicated to both customer satisfaction and employee well-being. This organization is committed to delivering high-quality solutions from precision parts to cutting-edge technology - that directly support critical industries, including national defense and agriculture. Their work plays a vital role in missions that extend far beyond the workplace. Joining their team means stepping into a challenging and rewarding career, where your contributions truly make a difference. JOB SUMMARY: The Software Verification Engineer is a role within the Software Verification team, responsible for creating test cases, along with test execution. We are looking for a Software Verification Engineer to work for our Auburn Hills, MI office. If you have at least 8 years of experience in Software Verification, and have a bachelor's degree or a related field, we're interested in learning about your qualifications! RESPONSIBILITIES: Execute the software verification activities, to include reviewing requirements specifications for testability, leveraging use cases in support of test case development, planning and executing improvements to the test environment and infrastructure. Develop automated and manual tests, tracing tests to requirements to ensure complete test coverage. Identify and diagnose software defects, verifying software correctness, and reporting results. Develop test plans, procedures, descriptions, and reports for delivery to customer in accordance with DoD Data Item Descriptions (DIDs) Support and adhere to all company safety and environmental regulations & policies Undertake other duties as determined by the software test and verification manager QUALIFICATIONS: Experience using dSPACE tool suites for development of automated test procedures Hands on experience with lab equipment such as oscilloscopes, multi-meters, logic analyzers, function generators, network analyzers, and spectrum analyzers Experience writing test scripts using C, C++, Python, CAPL, Vector VTestStudio, dSPACE AutomationDesk and ControlDesk Familiarity with the US DoD ground vehicle requirements Practical ‘hands on' attitude with the ability to operate independently General knowledge of Military Standards and regulations Ability to present technical solutions to clients and internal stakeholders Must be able to communicate effectively in a variety of settings and be able to assimilate complex instructions easily Must demonstrate an enthusiasm to engage with and support overseas colleagues Must be able to obtain an active U.S. Security Clearance EDUCATION: BSc Engineering (e.g. Mechanical, Electrical, Computer Science, Systems, Software, Aerospace, Automotive) EXPERIENCE: 8-10 years' experience in software verification Experience with Jira, Confluence, and Integration Lab Scheduler tools

Systems Engineer - Enterprise Infrasturcture Job Type: Full-Time | Location: Atlanta, GA Optomi, in partnership with one of our premier clients, is seeking a Systems Engineer to deliver hands-on administration, engineering, and support across enterprise data center and Microsoft infrastructure technologies. This role requires strong experience with Windows Server, VMware, backup platforms, collaboration tools, and cloud-connected services. You'll work within a forward-looking engineering team focused on modernization, scalability, and operational readiness What the Right Candidate will Enjoy: Work with modern infrastructure technologies across a large enterprise! High ownership and autonomy-your ideas and improvements matter! Opportunity to influence future-state architecture and tooling! The chance to work in environment focused on developing talent, collaboration, and diversity! Experience of the Right Candidate: Strong experience with Microsoft ecosystem: O365, AD, Exchange, Teams, SharePoint. Hands-on VMware/vCenter management. Working knowledge of Azure and Azure AD. Deep understanding of Windows Server platforms and enterprise infrastructure. Experience with DR/BCP, capacity planning, and high availability. Ability to work across multi-vendor environments (hardware & software). Responsibilities of the Right Candidate: Manage VMware vSphere environments, Windows Server (2012-2019), and core infrastructure services. Administer Active Directory, DNS/DHCP, GPOs, NPS, ADFS, and Azure AD Connect. Support Office 365, Exchange (on-prem & Online), Teams, OneDrive, and SharePoint. Use Tanium for endpoint management and patching. Perform server builds, OS upgrades, firmware updates, and performance tuning. Evaluate, test, and deploy new infrastructure technologies. Support backup platforms: Veeam, Dell PPDM, Zerto. Manage enterprise storage (HPE Nimble, Dell EMC, NetApp). Maintain DR/BCP procedures and high-availability configurations. Participate in migrations, upgrades, and modernization initiatives. Monitor and troubleshoot critical data center systems. Create thorough SOPs and handoff documentation to operations. Own assigned project workloads-reporting progress, risks, and timelines.

System Engineer (On-Site | Johns Creek, GA) Optomi, in partnership with a leader in the manufacturing industry, is seeking a Systems Engineer provides hands-on administration, maintenance, and support of enterprise data center and infrastructure technologies. This role requires intermediate to advanced knowledge of Microsoft infrastructure, virtualization, backup solutions, and cloud services in a large-scale enterprise environment. Core Responsibilities: Infrastructure Administration & Support: Administer and support VMware vSphere virtualization environment Manage Microsoft Windows Server environments (2012 R2, 2016, 2019) Maintain and troubleshooting Active Directory services include: Group Policy Objects (GPO) DHCP and DNS Network Policy Server (NPS) Active Directory Federation Services (ADFS) Azure AD Connect integration Microsoft 365 & Collaboration Tools: Support Office 365, Exchange Server (2016, 2019), and Exchange Online Administer SharePoint, Microsoft Teams, and OneDrive Manage email systems and collaboration platform configurations Systems Management & Deployment: Utilize Tanium for endpoint management and patch deployment Optimize server hardware and software while ensuring minimal downtime Monitor system performance, configuration, and capacity management Data Protection & Storage: Support backup solutions including Veeam, Dell PowerProtect Data Manager (PPDM), and Zerto Manage enterprise storage platforms (HPE Nimble, Dell-EMC, NetApp) Implement and maintain disaster recovery and business continuity procedures Operations & Project Work: Monitor and troubleshoot critical data center systems and equipment Participating in infrastructure upgrade and migration projects Respond to incidents with appropriate urgency and documentation Collaborate with cross-functional teams on special assignments Required Qualifications: Bachelor's or associate degree in computer science, Information Technology, or related field OR equivalent combination of education and significant relevant work experience Directory Services: Proven experience with Active Directory, DNS, LDAP, WINS, GPO, SAML, ADFS, and multi-factor authentication Virtualization: Hands-on experience managing large-scale VMware environments Cloud Services: Working knowledge of Microsoft Azure and Azure AD Enterprise Infrastructure: Experience supporting large-scale infrastructure projects in data center operations Operating Systems: Extensive knowledge of Microsoft Windows Server platforms Multi-Vendor Solutions: Ability to work with diverse hardware and software vendors