Junior Software Engineer jobs at Peraton

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. 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. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. 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 $129,300/year in our lowest geographic market up to $223,600/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.

In this role you will be responsible for leading a technical team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization. Key job responsibilities * Provide technical leadership to the Compute Sanitization team * Work closely with the hardware and firmware design teams. * Collect requirements from various other teams including training, inference and runtime. * Collaborate with the runtime team to ensure timely release of the pre-check tools. * Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute. About the team 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. 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 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. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. 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. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. BASIC QUALIFICATIONS- 10+ years of engineering experience - 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams - Experience as a tech lead of a large group of engineers PREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications - Experience with ML hardware/Software 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.

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. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of cutting edge Machine Learning products our customers demand. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was formed to focus on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, and device control are our bread and butter. Some of us know what a Tensor is but really it's not what we do. About the team 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- 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 PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - Experience writing software for DDR/HBM controllers and PHYs 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.

Salary Range: $150,000 - $250,000 + Equity Working Arrangement: Full Time - On-Site Cubiq is currently representing an award-winning early-stage Y Combinator-backed start-up in their pursuit to find a founding Robotics Software engineer, to enable the deployment and growth of their Natural Language Robotics Interface. This company is still very small, headed up by 2 ex-Google AI engineers, who were instrumental in the development of Claude. They're looking to add a Software engineer who can implement their AI algorithms into any and all types of robots to be easily controlled by anyone. The role will see the successful candidate becoming a key part of these plans and the company as a whole as they continue to grow. You will be building the core infrastructure and services for the system, Designing APIs and interfaces between the AI models, hardware, and human operators. Working across the stack from Robot-facing services to real-time agent orchestration. This is an on-site position in central New York, and is offering a salary between $140,000 -$220,000 and can stretch for the right candidate. There is full healthcare coverage and a 401K match. But the equity on offer is the real benefit to this role. The right candidate will need the following experience: Previous experience working with an Embodied AI system 2+ years of Software experience working with an LLM, RAG, or VLM Strong Python experience Experience at a scaling real-time system, data pipelines or working on integrating AI/ML models High Agency and good communication skills If you have the experience mentioned above, apply immediately! Interviews are already happening!

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

2+ years working in the ITSM or IT services/consulting industry preferred 2+ years coding Service Now features or similar platforms preferred Experience with ITIL Foundation level and other frameworks such as COBIT, IT4IT beneficial Experience with Web Services, API's, Database-level integrations/ETL Experience with Web Technologies (XML, HTML, JavaScript, Web Services, etc.) and working a SaaS environment Experience in driving design and strategy around tools Knowledge of technical components such as LDAP, VPN, SSL, and other technologies Must be fluent in English, both written and spoken Degree or equivalent, preferably in Information Technology and proven experience in technical development roles ServiceNow Development Familiar with CMDB Strong in IMDB ITOM nice to have Not just off the shelf knowledge, need manipulation, thought leadership, etc. actual applied knowledge, need to modify configurations, set table structures within SNOW

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.

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.

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.

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.

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

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.

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 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 Proficiency in Mandarin and English at the business communication level for international team collaboration Bonus Point: Experience with DolphinScheduler and SeaTunnel is a plus

Responsibilities Peraton is seeking a Summer 2026 Software Development Analyst Intern in support of the USPS Central Repair Facility program in Topeka, KS. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Discover careers that change the world and further advancements in defense, technology, and engineering today at Peraton. Use your experience to grow your career and support our global customers with the technology, systems, and solutions they need to enable their missions on the front lines and secure our world every day. With Peraton, you'll discover a culture built on diversity, respect, and above all teamwork. Together with our group of experts across the technical spectrum, you'll discover opportunities to make a difference in our world and start solving some of the world's most critical problems in the most innovative ways. Responsibilities: Under general supervision performs general application or web page design, implementation and documentation Assists current staff in designing upgrades to current system software Evaluate current applications and future needs to determine future projects Experience with Microsoft Visual Studio or other Visual IDE environment Experience with C# / C++,VB.NET and JavaScript Experience with ASP.NET, MVC, Windows Forms Knowledge of relational databases preferably Microsoft SQL Server #CRF2025 Qualifications Required Qualifications: US Citizenship and the ability to obtain and maintain a U.S. Postal Service security clearance. Clearance is required to start. Be enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university AND graduating after August 2026. Be majoring in Computer Science, Computer or Software Engineering discipline or related field. Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2026 Must be local to the Topeka, KS area and/or willing to commute onsite daily. Desired Qualifications: Have an overall cumulative GPA of 3.0/4.0 or higher (unofficial academic transcripts must be provided at time of application by uploading the documents to your application or profile) 3.7 cumulative GPA or higher is strongly preferred. Good presentation and writing/communication skills. Self-motivated, willing to learn, and interested in working in a team environment. Experience in developing and delivering presentations and leading small groups. Experience in working in an autonomous work environment on complex projects. Experience in working on business or engineering full life-cycle projects from project inception through launch. #PeratonIntern Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range The rate / range per hour below represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. SCA / Union / Intern Rate or Range $24.50/hour EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.