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The Secret to Getting Hired in Tech Again ? Get Interviews and Get Hired" Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. SynergisticIT helps you do exactly that. With hands on tech projects and personalized interview coaching, you'll build a profile that employers trust. Also get your resume directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. Whether you're a recent CS graduate or someone returning after a career gap, Synergisticit gives you the credibility and visibility needed to secure your next role. You've worked hard to build your skills, but employers won't notice unless your profile is positioned correctly. If your applications disappear into a black hole, you're experiencing the modern hiring funnel. Most resumes never reach a hiring manager. They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals-specific stacks, strong project depth, relevant certifications, and clear experience narratives. That's why "I applied a lot" often leads to silence. The fix is not more applications. The fix is improving what your application communicates in the first 10 seconds. Most rejections happen before a human ever sees your resume. Applicant tracking systems filter out thousands of qualified candidates every day. SynergisticIT helps you beat the system by optimizing your resume, preparing you for technical interviews, and marketing your profile directly to Fortune 500 clients. No more getting lost in automated filters. Whether you're a new grad, someone with a career gap, or a laid off developer, JOPP ensures your skills reach real hiring managers. If you want to bypass the noise and get real opportunities, JOPP is built for you. Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and hundreds more. Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage. Our purpose is to align your skills and profile with what employers are hiring for right now-so you get responses, interviews, and offers. Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?") You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. preparing you for screening, interview calls, technical rounds, and offer negotiation readiness. Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role. SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers). Please read our blogs please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: If recruiters aren't responding, it's not the end-it's feedback. And you can fix it with the right plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Your Tech Career Is Still Within Reach? Rebuild Momentum With a Placement Process Even if you've been rejected, laid off, or out of the field for years, your tech career is still within reach. SynergisticIT helps you rebuild your confidence and sharpen your skills through hands on real world projects. You'll also receive interview coaching and resume optimization that highlight your strengths. Also get marketed directly to Fortune 500 companies, giving you access to opportunities that most job seekers never see. Your career isn't over - it's waiting for the right opportunity. Synergisticit helps you reach it faster. A career gap doesn't disqualify you - outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn't translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you've been out for 3-6+ months, that gap can become an extra filter-unless you deliberately rebuild momentum. We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Citi, Bank of America, Wayfair, and others), with offers in the $95k-$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market. Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just "I coded," but "I can build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics engineering ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not "apply more." It's: Re-stack: align skills to today's demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling. Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point-not a pause. If you're ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it's not only what you know-it's how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job description: Join an exciting FinTech/Payments company as it builds a new technology platform and business offering from the ground up. We seek Senior Full Stack Java Developers with 15-20 years of experience designing and delivering high-quality software products. These positions will consist of about 80% backend and 20% front-end. LOCATION REQUIREMENTS: Candidates must be based in the Dallas, TX metro area (Plano or Frisco preferred). Please do not apply outside of these markets unless you are willing to relocate on your own. This is a hybrid role requiring work to be completed onsite three days per week (Tuesday, Wednesday, and Thursday). We seek software engineering professionals who: Lead through technical expertise rather than title. Have a passion for clean, maintainable, scalable software. Think architecturally while remaining pragmatic. Understand SOLID principles, Enterprise Integration Patterns, Design Patterns (Gang of Four), and Agile methodologies. Enjoy mentoring and developing engineers. Thrive in a fast-paced, collaborative environment where innovation is encouraged. OVERALL DUTIES: Part of a team to lead the architecture and design of a modern technology platform. Develop highly scalable, secure, cloud-native applications utilizing Java and the Spring ecosystem. Partner with executive leadership to align technical strategy with business objectives. Define software engineering standards, architectural patterns, and development best practices. Mentor and coach software engineers while fostering a collaborative engineering culture. Lead technical design reviews and provide architectural guidance across development teams. The current tech stack includes Java 25, React 19, Spring Boot 4.1, Spring Framework, Hibernate, REST APIs, PostgreSQL, Git, Maven, Claude Code, and AWS. Qualifications: Approximately 1520+ years of professional software engineering experience. Extensive experience designing and building enterprise Java applications. Experience with AI-assisted software development tools Payment processing or financial systems industry experience Deep expertise with: Java Spring Boot and Spring Framework Hibernate REST APIs React Maven AWS Cloud Services (ECS/Fargate preferred) Strong understanding of distributed systems and cloud architecture. Experience designing highly available, scalable software platforms. PREFERRED: Payment processing or financial services technology PCI DSS v4 compliance SOC 2 Type II controls Secure software development Event-driven architecture RabbitMQ, Kafka, or JMS messaging Kotlin Building software within regulated environments U.S. Citizens or Green Card holders only, please. We are unable to accept 3rd party candidates, transfer a visa, or provide sponsorship. Why is This a Great Opportunity: You will join a small yet dynamic and growing technology company providing credit card/debit card payment processing services. The company will also be designing and developing a payment gateway. The leadership team has deep experience in the payments industry.

Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI0ef29b31cccb-4236

Interviews and Job offers? Let's make it happen with a Process which works Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? See It. Believe It. Become It. Don't let a lack of interviews stall your career. Let's give hiring managers exactly what they're looking for-and then some. You've already done the hard part. Now, let's get you hired. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details

Job description Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5 years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2 Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5 years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2 Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description This opportunity is intended for experienced Senior Python Engineers only Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for - You must meet all the requirements in order to be considered for this project: 5 years of professional experience with Python. Strong experience with FastAPI , pytest , and async/await . Hands-on experience with Docker , PostgreSQL , and CI/CD pipelines. Proven experience writing and maintaining automated tests (not just executing them). Full-stack experience with React and TypeScript is a plus. English proficiency at B2 level or higher . Availability to work 30 hours per week . Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description This opportunity is intended for experienced Senior Python Engineers only Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for - You must meet all the requirements in order to be considered for this project: 5 years of professional experience with Python. Strong experience with FastAPI , pytest , and async/await . Hands-on experience with Docker , PostgreSQL , and CI/CD pipelines. Proven experience writing and maintaining automated tests (not just executing them). Full-stack experience with React and TypeScript is a plus. English proficiency at B2 level or higher . Availability to work 30 hours per week . Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5 years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2 Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description This opportunity is intended for experienced Senior Python Engineers only Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for - You must meet all the requirements in order to be considered for this project: 5 years of professional experience with Python. Strong experience with FastAPI , pytest , and async/await . Hands-on experience with Docker , PostgreSQL , and CI/CD pipelines. Proven experience writing and maintaining automated tests (not just executing them). Full-stack experience with React and TypeScript is a plus. English proficiency at B2 level or higher . Availability to work 30 hours per week . Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description This opportunity is intended for experienced Senior Python Engineers only Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for - You must meet all the requirements in order to be considered for this project: 5 years of professional experience with Python. Strong experience with FastAPI , pytest , and async/await . Hands-on experience with Docker , PostgreSQL , and CI/CD pipelines. Proven experience writing and maintaining automated tests (not just executing them). Full-stack experience with React and TypeScript is a plus. English proficiency at B2 level or higher . Availability to work 30 hours per week . Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description This opportunity is intended for experienced Senior Python Engineers only Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for - You must meet all the requirements in order to be considered for this project: 5 years of professional experience with Python. Strong experience with FastAPI , pytest , and async/await . Hands-on experience with Docker , PostgreSQL , and CI/CD pipelines. Proven experience writing and maintaining automated tests (not just executing them). Full-stack experience with React and TypeScript is a plus. English proficiency at B2 level or higher . Availability to work 30 hours per week . Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5 years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2 Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job description Open to candidates in the North America, South America, Asia and Europe. Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5 years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2 Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Hiring & Onboarding Process The process is designed to move quickly and typically includes the following steps: App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work! Additional Requirements Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment. Company Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.5c143e31-5e48-4549-b2d185386

Job Overview: Pay Range: $41hr - $46hr Requirement/Must Have: 7+ years of experience in full stack development. Experience with Java/J2EE, Spring Boot, REST APIs, Microservices, React, JavaScript, HTML, CSS. Experience with Azure/OpenShift/AKS, DevOps, monitoring and debugging tools. Strong verbal and written communication skills. Responsibilities: Deliver end-to-end full stack enhancements (UI, backend, APIs, cloud). Drive design and implementation with cross-team stakeholders. Resolve dependencies and ensure scalable and secure solutions. Improve performance and reliability. Nice to Have: Experience in healthcare domain (care management). Familiarity with GovCloud/regulatory environments (HIPAA/FedRAMP). Knowledge of event-driven architecture (Kafka). Experience with performance optimization and configuration-driven platforms. Experience in Agile delivery. Skills: Java. Spring Boot. AWS/Azure. SQL/NoSQL. CI/CD. Automated testing. AI tools (Copilot/M365). Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Genesis10 is currently seeking a Data Engineer for a Hybrid position with a Global Financial Institution located in Charlotte, NC. This is a 12+ month contract opportunity. This role will be part of a Data Strategy team leading a major Digital Transformation initiative. The ideal candidate will support the design and development of a strategic data platform on the Azure Cloud Platform, focusing on establishing a reference data system for securities and pricing data. This position requires a full stack developer with extensive experience in Python/PySpark and Azure cloud services. Responsibilities: Actively participate in the development of a strategic data platform in close coordination with the client team Contribute to the establishment of a reference data system for securities and pricing data, later expanding to other data domains Follow internal development standards to contribute to the overall agenda of the Data Strategy team Implement solutions on the Azure Cloud Platform as part of a broker-dealer and swap-dealer entity Requirements: 10+ years of relevant experience as a full stack Python/PySpark developer Proven experience as a Data Engineer with experience in Azure cloud Experience implementing solutions using Azure cloud services such as Azure Data Factory, Azure Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, and Azure Functions Well versed with Azure Databricks Strong SQL skills with RDBMS or NoSQL databases Experience with developing APIs using FastAPI or similar frameworks in Python Familiarity with the DevOps lifecycle (git, Jenkins, etc.) and CI/CD processes Good understanding of ETL/ELT processes Desired skills: Experience in the financial services industry, financial instruments, asset classes, and market data are a plus Pay range: up to $78.18 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Job Market Isn't Slow - It's Selective Get Job Offers with a Process which works! Many job seekers think the tech market is dead, but the truth is companies are hiring selectively. They want candidates who are trained, polished, and ready to contribute immediately. SynergisticIT prepares you exactly for that. You'll gain hands on experience, master in demand technologies, and receive interview coaching that helps you outperform other applicants. Plus direct access to 28000+ contacts at different employers. If you're tired of waiting for the market to "get better," become the candidate companies are already looking for. You've done a ton of Leetcode. You've racked up certificates, done LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirements change every day. Companies are looking for Employees who can contribute on Projects from Day 1. So what is needed is the right tech stack and the right project work. Companies have options and as a Jobseeker you can have options also if you have the right tech stack and Project work Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. All visa types and U.S. citizens are encouraged to apply. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room-or a Zoom. Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? The Market's Changed-Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

1000's of Job Applications and No Interviews or Job offers? Get Hired with a Process The Job Market is overcrowded and recruiters are using AI assessments to filter Candidates with no results which leads to career Gaps If you've been unemployed for over 3-6+ months, you're not alone-and you're not out of options. The tech industry is competitive, and having a career gap can make it harder to get callbacks. But at SynergisticIT, we specialize in helping candidates like you regain momentum, rebuild confidence, and get hired. Why You're Being Overlooked-and How We Can Help Many employers today don't just want a degree-they're looking for job-ready developers with hands-on experience, relevant certifications, and up-to-date skills in today's tech stack. Unfortunately, most CS grads don't get that in college. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Stop waiting for the phone to ring. Let's start your tech career-together. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.