Requirements engineer jobs in Massachusetts

Role: Digital Accessibility Specialist Contract The Digital Accessibility Specialist is a contractor on the Digital Services team, serving as a subject matter expert on digital accessibility. They work closely with the Digital Accessibility Program Manager to maintain the accessibility of all services and information. The incumbent will develop relationships with staff across to gain extensive institutional knowledge of and its initiatives, as well as user behavior. This person will also work closely with content contributors, the Digital Services team, vendors, and other members of the IT staff to maintain standards for accessibility and usability. Tasks require strong attention to detail and ability to work under tight deadlines to complete all work in a timely manner, following department standards and policies, to the satisfaction of the customer. The incumbent will manage multiple projects from concept through completion, adhering to schedules and budgets. Key Responsibilities Subject matter expert on accessibility Research industry best practices, standards and guidelines, and legislation, including, but not limited to, Title II of the Americans with Disabilities Act (ADA), and the Web Content Accessibility Guidelines (WCAG). Stay current with developments in digital accessibility and technology including policies, procedures, standards, and tools. Develop digital accessibility resources and collaborate with Digital Services team members to build and maintain a robust knowledge repository. Promote accessibility within the organization and advocate for accessibility as a vital part of the customer and employee experience. Assist in creating a communication plan to inform employees of their role and responsibility for accessible digital content and services. Accessibility Audits Lead the team providing audits of digital assets to meet the WCAG 2.1 A and AA standards. Includes reporting the audit findings and working with project teams on fixing issues identified in audit reports. Advise internal teams on incorporating digital accessibility into their processes. Maintain the department's audit test plan to incorporate new tools and processes. Oversee the tracking of current audits and archiving of past audits for reporting. Assist the Digital Accessibility Program Manager in keeping the digital asset inventory up to date. Standards and Guidelines Assist the Digital Accessibility Program Manager with efforts to establish and manage digital accessibility best practices within and to develop and maintain standards and policies that evolve along with the maturity of the digital accessibility program. Identify and/or develop appropriate checkpoints to allow oversight and governance activities that ensure that digital content and services procured, designed, built, tested, and maintained by are meeting accessibility best practices, standards, and Commonwealth policies. Anticipate problems and identify and evaluate potential sources of information to generate alternatives. Required Experience Experience in applying the digital principles of accessibility, usability and user experience to handle the day-to-day management, editing and quality control of text, images, and other content on an organization's website and communications. Knowledge and understanding of state and national accessibility laws and standards for digital resources including Title II of the ADA, the Web Content Accessibility Guidelines (WCAG) requirements and Plain Language laws. In-depth understanding of digital accessibility principles and standards to ensure compliance with WCAG 2.1 A and AA standards and regulations. Experience conducting content/software/application audits using various testing software including the WAVE toolbar, ARC Toolkit, Accessibility Insights for Web, WebAIM Contrast Checker, and others. Experience testing with assistive technologies like NVDA, JAWS, Dragon Naturally Speaking and ZoomText. Experience researching industry practices and ability to gather, assemble, correlate, and analyze facts; to devise solutions to problems; and to prepare concise reports. Skills in planning and facilitating meetings, working in teams, and group problem solving. Knowledge of the principles and practices of effective project leadership. Proven ability to build consensus and work effectively within a cross-departmental team. Exceptional written and oral communication and organizational skills. Ability to organize and present information in a clear, concise manner. Ability to prioritize, manage and complete multiple assignments in a fast-paced, deadline-driven environment. Excellent attention to detail; ability to review complex information from multiple sources and determine relevant information to a given situation. Preferred Training and Certifications Completion of the W3C Digital Accessibility Foundations - Introduction to Web Accessibility online course or comparable training course is a plus. Web Accessibility Specialist (WAS), Certified Professional in Web Accessibility (CPWA), and Accessible Document Specialist (ADS) certifications from the International Association of Accessibility Professionals (IAAP) are a plus. Thanks Shivam Email - ************************************

Cloud Engineer | Hybrid, Devens, MA | $130,000 - $145,000 + Benefits A well-established firm in Devens, MA is seeking a skilled and experienced Cloud Engineer to join its growing IT team. With over 100 years in business and a strong reputation in their sector, the company offers a collaborative, community-focused environment with a commitment to innovation and long-term growth. Why This Role Stands Out: Join a close-knit IT team and serve as the go-to expert for cloud infrastructure Work directly with leadership to shape the company's Azure strategy Be part of a business expanding into new locations and investing in technology Enjoy a family-friendly culture with strong values and a relaxed office environment Access to professional development, certifications, and regular company events Key Responsibilities: Design, implement, and maintain hybrid cloud infrastructure (Azure + Active Directory) Lead networking, firewall, and security configurations across cloud environments Manage virtual machines, storage, SSO, conditional access, and enterprise applications Implement MDR/XDR antivirus solutions and support security audits Collaborate with cross-functional teams to troubleshoot and optimize systems Stay current on cloud trends and make recommendations for continuous improvement Required Skills and Experience 10+ years in IT, with a strong focus on cloud engineering Deep expertise in Microsoft Azure technologies Solid understanding of networking, firewalls, and Windows environments Experience with MDR/XDR cybersecurity tools Strong documentation and collaboration skills Relevant certifications (e.g., Azure Solutions Architect, AWS Solutions Architect) preferred Compensation & Benefits: $130,000 - $145,000 base salary Full medical, dental, and vision coverage (Blue Cross) 401(k) with company match and profit sharing after 1 year One remote day per week (4 days on-site) Supportive culture with a focus on work-life balance and community engagement The company is actively interviewing and looking to make a hire soon. To secure an interview slot, send in an application, drop me a message, or forward your resume to the contact below. 📧 *****************************

Data Engineer (HR Data Systems) Boston, MA 3-4 days onsite a week Pay Rate: $105/Hr Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Exposure to Data Warehousing solutions leveraging data from Workday or other HRIS such as SuccessFactors, etc. to support advanced reporting and insights for an organization

Role: Join AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers, and Data Engineers, you'll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You'll focus on building secure, scalable, and high-performance AI agents using modern technologies, including AWS Bedrock and Databricks - shaping the backbone of clients' “Construction Site of the Future.” The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You'll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed. Responsibilities: AI Product Engineering & Deployment: Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks. Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search. Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency. Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows. Own full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance. Full-Stack & Backend Development: Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs. Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.). Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints. Data Engineering & Integration: Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse. Ensure efficient data access, caching, and vectorization for low-latency AI response. Build tools to monitor and improve data quality, latency, and observability. DevOps & Platform Automation: Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments. Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning. Enforce security, governance, and access standards in line with enterprise policies. Collaboration & Communication: Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints. Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates. Qualifications: 4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases. Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS. Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions Experience training, retraining and performing transfer learning on ML models desirable. Bachelor's in Computer Science, Engineering, Physics, or a related field; Master's preferred. Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus. Excellent collaboration and communication skills - able to work cross-functionally but not dependent on business-side facilitation. Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.

We're looking for a Senior DevOps Tools Engineer to help modernize and elevate our development ecosystem. If you're passionate about improving how software teams build, test, secure, and deliver high-quality code-this role is built for you. This is not a traditional infrastructure-heavy DevOps role. It's a developer-enablement, tooling modernization, and process transformation position with real influence. 🔧 Role Overview You will lead initiatives that reshape how engineering teams work-modernizing tooling, redesigning source control practices, improving CI/CD workflows, and championing DevEx across the organization. This role combines hands-on engineering with strategic process design. ⭐ Key Responsibilities Drive modernization of development tools and processes, including SVN → Git migration and workflow redesign. Own and enhance CI/CD pipelines to improve reliability, automation, and performance. Implement modern DevOps + DevSecOps practices (SAST, DAST, code scanning, dependency checks, etc.). Automate build, packaging, testing, and release processes. Advocate for and improve Developer Experience (DevEx) by reducing friction and enabling efficiency. Collaborate across engineering teams to define standards for source control, branching, packaging, and release workflows. Guide teams through modernization initiatives and influence technical direction. 🎯 Must-Have Qualifications Strong experience with CI/CD pipelines, developer tooling, and automation. Hands-on expertise with Git + Git-based platforms (GitLab, GitHub, Bitbucket). Experience modernizing tooling or migrating from legacy systems (SVN → Git is a big plus). Solid understanding of DevOps / DevSecOps workflows: automation, builds, packaging, security integration. Proficient in scripting/programming for automation (Python, Bash, PowerShell, Groovy, etc.). Excellent communication skills and ability to guide teams through change. 🏙️ Work Model This is a full-time, hybrid role based in Boston, MA. Onsite participation is required. 📩 When Applying Please include: Updated resume Expected Salary Notice period (30 days or less) A good time for a quick introductory call If you're excited about modernizing engineering ecosystems, improving developer experience, and driving organization-wide transformation, we'd love to connect.

The Alexander Technology Group is looking for a junior devops engineer for a client in the Woburn, MA area. Hybrid on-site No 3rd party applicants will be considered, do not reach out 85-90k Requirements: Key Responsibilities: Support Cloud Infrastructure: Assist in managing AWS infrastructure including VPCs, ECS/EKS clusters, RDS databases, and serverless components under the guidance of senior engineers. Maintain CI/CD Pipelines: Help maintain and improve deployment pipelines using GitLab CI or GitHub Actions, ensuring smooth software delivery. Monitor System Health: Set up and monitor alerting systems using CloudWatch, Grafana, or Prometheus, and respond to incidents with support from the team. Security and Compliance: Support SOC 2 Type II compliance efforts by implementing security controls and following established protocols. Infrastructure as Code: Gain experience with Terraform and other IaC tools to automate infrastructure provisioning and management. If interested, please send resume to ************************

Job Description - AWS Networking / AWS DevOps Engineer Type: Hybrid (3 to 4 days based on client request and project demand) Role: AWS Cloud Networking Engineer/DevOps We are seeking an experienced Networking-focused AWS DevOps Engineer to support and optimize our multi-region cloud infrastructure. The ideal candidate will have strong expertise across AWS networking, multi-region architectures, CI/CD, container orchestration, infrastructure automation, and data platform components such as Redshift. This role is part-time but requires a hands-on engineer who can troubleshoot, optimize, and enhance our production and non-production cloud environments. Key Responsibilities AWS Multi-Region Architecture & Networking • Design, implement, and optimize multi-region VPC architectures, peering, Transit Gateway, and routing policies. • Configure and manage security groups, NACLs, route tables, NAT gateways, IGWs, and cross-region networking. • Ensure high availability (HA) and disaster recovery (DR) readiness across multiple AWS regions. • Support network connectivity for hybrid environments (VPN, Direct Connect). AWS DevOps & Automation • Develop and maintain CI/CD pipelines using CodePipeline, CodeBuild, GitHub Actions, GitLab, or Jenkins. • Automate infrastructure provisioning using Terraform, CloudFormation, or CDK. • Implement and optimize monitoring, logging, and alerting via CloudWatch, OpenSearch, Prometheus/Grafana, or equivalent. • Drive continuous improvements in deployment reliability and DevOps best practices. Compute & Container Services • Manage and optimize EC2 instances including AMIs, autoscaling, patching, and configurations. • Deploy, scale, and troubleshoot workloads on ECS (Fargate or EC2). • Implement workload security, resource optimization, and cost controls across compute services. Redshift & Data Infrastructure Support • Support Redshift cluster configuration, security, WLM settings, performance optimization, and connectivity. • Ensure secure and optimized data flows between ETL layers, Redshift, EC2/ECS services, and S3. • Collaborate with data teams to tune Redshift workloads and ensure optimal network performance. Security & Compliance • Enable IAM policies, role-based access, and least-privilege security controls. • Implement multi-region failover, backup/restore strategies, and environment hardening. • Ensure compliance with security best practices, patching, encryption, and CloudTrail logging. Operations, Troubleshooting & Support • Troubleshoot multi-region connectivity, latency, DNS, and infrastructure issues. • Optimize cloud spend across compute, networking, and Redshift workloads. • Provide on-call / ad-hoc support during deployments or critical incidents (as needed). Required Skills & Experience Technical Skills • 10+ years of experience as a DevOps, Cloud Engineer, or AWS Infrastructure Engineer. • Strong AWS networking expertise: VPC, TGW, Route53, VPN, Direct Connect, SGs, NACLs. • Experience with multi-region, HA, DR architectures. • Proficient in EC2, ECS (Fargate/EC2 Launch Types), Redshift. • Strong Terraform / CloudFormation scripting experience. • Strong experience with Python or Bash for automation. • Hands-on experience setting up CI/CD pipelines. • Experience with monitoring/observability tools: CloudWatch, OpenSearch, Grafana/Prometheus, Datadog, etc. • Familiarity with cloud cost optimization and tagging strategies.

hackajob has partnered with Simply Business in its digital solutions and leverages extensive industry data to drive impactful results. Role: Data Analyst / Analytics Engineer Mission: You'll be part of the global Data and Analytics (DNA) team at Simply Business, helping drive data-driven decision making across the organization. Your mission will be to provide high-impact analytical support to business stakeholders, measure and evaluate product value streams, and ensure product investments deliver maximum value. As a trusted advisor, you'll translate business needs into actionable insights that improve operational efficiency and customer conversion. Location: US-based (Hybrid / details 8 days/month) Salary: Up to 99K USD Work authorization: This role requires you to be authorized to work in the United States without sponsorship. Qualifications (3+ years of experience): Experience in data & analytics, with a preference for operational analytics Experience working with cloud data warehouses (Snowflake or similar) Strong SQL skills and experience designing data models (dbt is a plus) Experience integrating new data sources and working with ETL pipelines Strong data visualization and storytelling skills using BI tools such as Looker, Tableau, or Power BI Ability to partner with product, engineering, and business teams to translate use cases into analytical solutions Excellent communication skills, especially when presenting insights to non-technical stakeholders Comfortable working as a self-starter in a globally distributed team Benefits: Opportunity to work on strategic, high-impact analytics initiatives Exposure to global stakeholders across product, engineering, and business teams Ongoing investment in modern data platforms and BI capabilities Career growth within a mature and expanding Data & Analytics function About hackajob: hackajob is a recruitment platform that matches you with relevant roles based on your preferences. To be matched with roles like this one, you'll need to create an account with us. This role requires you to be based in the US.

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

Job Title: Junior Data Engineer W2 candidates only We are on the lookout for engineers who are open to upskill to the exciting world of Data Engineering. This opportunity is for our client, a top tier insurance company and includes a 2-3 week online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.. Key Responsibilities: • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch. • Develop applications primarily in Scala and Python with guidance from senior team members. • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus. • Work on ETL/ELT processes and frameworks to ensure smooth data integration. • Participate in development tasks, including configuration, writing unit test cases, and testing support. • Help identify and troubleshoot defects and assist in root cause analysis during testing. • Support performance testing and production environment troubleshooting. • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes. • Continuously learn and grow your skills in big data technologies and cloud platforms. Prerequisites: • Recent graduate with a degree in Computer Science, Information Technology, Engineering, or related fields. • Basic experience or coursework in Scala, Python, or other programming languages. • Familiarity with SQL and database concepts. • Understanding of ETL/ELT concepts is preferred. • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory. • Strong problem-solving skills and eagerness to learn. • Good communication and teamwork abilities. Selection Process & Training: • Online assessment and technical interview by Quintrix. • Client Interview(s). • 2-3 weeks of pre-employment online instructor-led training. Stipend paid during Training: • $500. Benefits: • 2 weeks of Paid Vacation. • Health Insurance including Vision and Dental. • Employee Assistance Program. • Dependent Care FSA. • Commuter Benefits. • Voluntary Life Insurance. • Relocation Reimbursement. Who is Quintrix? Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate's kick start their careers in tech. You will be “paid-to-learn”, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to *************************************

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Engineer (HR Data warehousing exp) Boston, MA (3-4 days onsite a week) Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization Preferred Experience & Skills: Experience in developing and supporting a data warehouse serving the HR domain Experience with data platforms where SCD Type 2 was required Experience with data visualization tools such as Tableau Experience with architecting or working with ELT technologies (such as DBT) and data architectures Understanding of HR processes, compliance requirements, and industry best practices Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

This role is with a Maris Financial Services Partner Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week. 12 Month + contract (or contract to hire, if desired) This team oversees critical systems including Snowflake, Tableau, and RDBMS technologies like SQL Server and Postgres. This role will focus on automating database deployments and creating efficient patterns and practices that enhance our data processing capabilities. Key Responsibilities: Design, enhance, and manage DataOps tools and services to support cloud initiatives. Develop and maintain scheduled workflows using Airflow. Create containerized applications for deployment with ECS, Fargate, and EKS. Build data pipelines to extract, transform, and load (ETL) data from various sources into Apache Kafka, ultimately feeding into Snowflake. Provide consultation for infrastructure projects to ensure alignment with technical architecture and end-user needs. Qualifications: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) practices and tools. Understanding of application stack architectures (e.g., microservices), PaaS development, and AWS environments. Proficiency in scripting languages such as Bash. Experience with Python, Go, or C#. Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools, such as CloudFormation. Preferred experience with Apache Kafka and Flink. Proven experience working with Kubernetes. Strong knowledge of Linux and Docker environments. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to manage multiple tasks and projects concurrently. Expertise with SQL Server, Postgres, and Snowflake. In-depth experience with ETL/ELT processes.

JOB MISSION: New Balance is seeking a forward-thinking Senior SDET with a developer's mindset and a passion for AI to lead the next evolution of our global eCommerce test automation platform. This is a unique opportunity for someone who thrives on staying ahead of AI trends and is eager to apply them to modern software quality engineering. You'll drive the transformation of our Selenium and BDD-based test stack into a cutting-edge, AI-augmented platform that supports everything from unit testing to full user journey validation. If you're a builder at heart-excited by the challenge of creating scalable, self-healing, and autonomous testing systems that empower both engineers and developers-this role is for you. MAJOR ACCOUNTABILITIES: Lead the architectural redesign of our test automation platform, transitioning from a legacy Selenium/C# and BDD stack to a modern, intelligent framework. Design, build, and maintain AI-driven test automation platforms that enable reliable, scalable tests across the entire testing pyramid-from unit and integration to full end-to-end user journeys. Implement AI-augmented testing strategies to support autonomous test creation, maintenance, and healing. Integrate visual validation tools such as Applitools Eyes into the automation pipeline. Collaborate cross-functionally with developers, QA engineers, and DevOps to ensure test coverage, reliability, and scalability across global eCommerce sites. Evaluate and integrate open-source and commercial tools that enhance test intelligence, observability, and maintainability. Advocate for testability by partnering with developers and architects to influence solution design. Mentor and guide other SDETs and QA engineers in modern test automation practices and AI-driven testing approaches. Continuously research and prototype emerging AI technologies in the testing space to keep the platform at the forefront of innovation. REQUIREMENTS FOR SUCCESS: 5+ years of experience in test automation, with deep expertise in Selenium and C#. Strong understanding of BDD frameworks (e.g., SpecFlow, Cucumber) and test design principles. Hands-on experience with Selenium extensions such as Healenium, Selenide, or Selenium Grid, with a focus on improving test resilience, scalability, and maintainability. Proven ability to implement self-healing test mechanisms and intelligent locator strategies to reduce flakiness and maintenance overhead. Familiarity with AI-augmented testing strategies (e.g., intelligent test generation, adaptive test execution). Experience integrating Selenium-based frameworks into modern CI/CD pipelines (e.g., Azure DevOps, Jenkins), with AI-driven diagnostics or analytics. Proficiency with visual testing tools like Applitools Eyes. Experience with modern automation frameworks such as TestRigor, Playwright, or Cypress. Exposure to machine learning or NLP concepts applied to software testing. Contributions to open-source testing tools or frameworks. Strong problem-solving, communication, and mentoring skills.

Distinguished AI Engineer (Agentic AI Platform Infrastructure) 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast 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 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang 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. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Work schedule: Hybrid Key Responsibilities: Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management. User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies. Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction. Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization. Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage. Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment. Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance. Qualifications and Experience: 5+ years of experience in data architecture, data engineering, or database development. 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security. At a minimum Bachelor's degree in Computer Science, Information Technology, or related field. Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred). Experience or exposure to AI tools. Deep understanding of data warehousing concepts, dimensional modeling, and analytics. Excellent problem-solving and communication skills. Experience integrating Snowflake with BI and reporting tools is a plus Required Skills: Strong proficiency in Snowflake architecture, features, and capabilities. Knowledge of SQL and Snowflake-specific query optimization. Experience with ETL tools and data integration processes. Strong proficiency in SQL and Python. Strong Database design and data modelling experience. Experience with data modeling tools. Ability to identify and drive continuous improvements. Strong problem solving and analytical skills. Demonstrated process-oriented and strategic thinking skills. Strong motivation and a desire to continuously learn and grow. Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc. Experience working in AWS cloud environments. Experience working with Power BI and other BI, data visualization, and reporting tools. Business requirement gathering and aligning to solutions delivery. Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies. Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus. Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus. Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail. Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders. Teamwork: Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills: Snowflake certification (e.g., SnowPro Core or Advanced Certification).

Veteran-Owned Firm Seeking a System Cybersecurity Engineer II for an Onsite Assignment at Hanscom Air Force Base (AFB) My name is Stephen Hrutka. I lead a Veteran-Owned management consulting firm in Washington, DC. We specialize in Technical and Cleared Recruiting for the Department of Defense (DoD), the Intelligence Community (IC), and other advanced defense agencies. At HRUCKUS, we support fellow Veteran-Owned businesses by helping them recruit for positions across organizations such as the VA, SBA, HHS, DARPA, and other leading-edge R&D-focused defense agencies. We seek to fill a System Cybersecurity Engineer II role at Hanscom Air Force Base (AFB) in Bedford, MA. The ideal candidate must have an active Secret Security Clearance, a DoD 8570.01-M MGT512-compliant certification, and experience with LogRhythm. Required qualifications include either a BA/BS with 10 years of cybersecurity experience (5 in DoD), an MA/MS with 5 years (3 in DoD), or 15 years of related experience with proper certifications, including 5 years in DoD. If you're interested, I'll gladly provide more details about the role and discuss your qualifications further. Thanks, Stephen M Hrutka Principal Consultant HRUCKUS LLC Executive Summary: HRUCKUS is seeking a System Cybersecurity Engineer II with Secret Clearance for a role at Hanscom Air Force Base (AFB) in Bedford, MA. Position Overview: The System Cybersecurity Engineer II will be able to perform work that involves ensuring the confidentiality, integrity, and availability of systems, networks, and data through the planning, analysis, development, implementation, maintenance, and enhancement of information systems security programs, policies, procedures, and tools. Position Responsibilities: Supporting the system/application authorization and accreditation (A&A) effort, to include assessing and guiding the quality and completeness of A&A activities, tasks, and resulting artifacts mandated by governing DoD and Air Force policies (i.e., Risk Management Framework (RMF). Recommending policies and procedures to ensure the reliability of and accessibility to information systems and to prevent and defend against unauthorized access to systems, networks, and data. Conducting risk and vulnerability assessments of planned and installed information systems to identify vulnerabilities, risks, and protection needs. Promoting awareness of security issues among management and ensuring sound security principles are reflected in organizations' visions and goals. Conducting systems security evaluations, audits, and reviews. Recommending systems security contingency plans and disaster recovery procedures. Recommending and implementing programs to ensure that systems, networks, and data users are aware of, understand, and adhere to systems security policies and procedures. Participating in network and systems design to ensure implementation of appropriate systems security policies. Facilitating the gathering, analysis, and preservation of evidence used in the prosecution of computer crimes. Assessing security events to determine impact and implementing corrective actions. Ensuring the rigorous application of information security/cybersecurity policies, principles, and practices in the delivery of all IT services. Perform the Information System Security Engineer (ISSE) duties in an Information Assurance Workforce System Architecture and Engineering (IASAE) position as outlined in AFI 33-200, AFI 33-210 and AFMAN 33-285 for assigned systems. Perform the Information System Security Manager (ISSM) duties as outlined in DoDI 8510.01 for assigned systems/applications. Perform the Information System Security Officer (ISSO) duties as outlined in DoDI 8510.01 for assigned systems/applications. Other duties as assigned. Required Qualifications: Clearance: Active Secret Security Clearance BA/BS degree with a minimum of 10 years of cybersecurity experience, including 5 years supporting the Department of Defense (DoD); or an MA/MS degree with at least 5 years of experience, including 3 years in a DoD environment; or 15 years of directly related experience with the appropriate certifications, of which a minimum of 5 years must be within the DoD. DoD 8570.01 MMGT512 compliant certification. Experience with LogRhythm. Lab/SCIT management experience preferred. Experience with the Risk Management Framework (RMF). Details: Job Title: System Cybersecurity Engineer II Location: Hanscom Air Force Base, MA Clearance Requirement: Active Secret Clearance Assignment Type: Full-time, Onsite Salary Range: $130,000 - $140,000 per year

Job Title: Artificial Intelligence Engineer Location: Boston/Hybrid Type: Full-time The Role We're looking for a hands-on AI Systems Engineer to own the deployment, integration, and support of AI-powered tools (LLMs, Copilot, Claude, etc.) while keeping enterprise infrastructure running smoothly in a professional services environment. What You'll Do Build, deploy, and maintain AI applications that supercharge legal and knowledge workflows Manage and optimize cloud (Azure/M365) and on-prem environments (Windows/Linux, VMware/Nutanix, AD, SQL) Write production-grade Python/PowerShell, automate everything, consume REST APIs and SDKs Craft high-impact prompts and fine-tune LLM usage Partner with architecture and ops leadership on strategy, resilience, and continual improvement Research emerging tech and drive efficiency gains Rotate in 24×7 on-call (escalation/triage) You Bring 7+ years supporting mission-critical IT in professional services or similar Real experience with modern LLMs and AI tools Strong Python or PowerShell + familiarity with ML libraries Deep experience with Azure, M365, Active Directory, virtualization, networking, backups Proven ability to solve complex problems independently and communicate clearly Bachelor's in CS or related field

Hello, We have urgent openings for a "Java Backend Developer". These are hybrid roles. Title: Backend Java Developer F2F interview is required Job Description: Java/AWS Backend Developer Senior Individual Contributors with deep expertise in Java, Node.js, AWS system design, event-driven microservices, performance optimization, and LLM integrations. Key Responsibilities Architect modular microservices and event-driven systems using Java/Node.js on AWS (SNS/SQS, Lambda, ECS, Batch). Drive performance improvements, profiling, fine-tuning, and quality gates for production reliability. Integrate chatbots and LLMs into backend services for intelligent, scalable applications. Required Qualifications 10+ years backend experience with Java and Node.js. Proven system design skills in distributed, microservices architectures. Hands-on AWS expertise and event-driven patterns. Track record of performance optimization and modular development. ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to jeff.r AT anaghtech.com. Thank you for your time.

About the Company Our client is a well-established financial services organization with a strong presence across retail banking, insurance, wealth management, and mortgage services. They are embarking on an exciting journey to build a next-generation data analytics platform from the ground up, leveraging rich datasets and modern cloud technologies. This is a fantastic opportunity to join a collaborative, mid-sized environment where you can make a real impact on data strategy and analytics capabilities. The Role We are seeking a Data Engineer who can wear multiple hats-data modeling, dashboard development, predictive analytics-and help shape the future of data within the organization. You'll work closely with business stakeholders and IT leadership to design and implement solutions that unlock insights and drive strategic decisions. Key Responsibilities Design and develop new data solutions to meet evolving business needs. Build and optimize predictive models; integrate with BI tools. Develop dashboards and reports using Power BI. Create and maintain efficient data pipelines; support cloud-to-cloud environments. Collaborate with leadership to provide actionable insights. Mentor team members on data handling best practices. Stay current with emerging technologies and advocate for ethical data use. Technical Requirements Must Have: Power BI and SQL Server expertise Azure Cloud experience ETL/ELT tools (SSIS, Informatica, Databricks, KingswaySoft) Nice to Have: Snowflake experience Multi-cloud exposure (AWS/GCP) Python and ML frameworks (TensorFlow, PyTorch, scikit-learn) Predictive modeling and advanced analytics Soft Skills Builder mindset-creative with limited resources. Comfortable in a non-siloed environment; able to wear multiple hats. Strong collaboration and communication skills. Open to learning financial services domain. Why Apply? Opportunity to design and build a data analytics platform from scratch. Direct interaction with business stakeholders. Stable organization with a history of growth and strong financials. Collaborative culture with room for innovation.