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• Role: QE Solution Architect
• Skills: GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation
• Experience: 14 + Years.
• Location: Houston TX.

Role Summary

We are seeking an AI-Driven Quality Engineering (QE) Solution Architect to lead the design and rollout of next‑generation, AI-enabled QE solutions powered by platforms such as GitHub Copilot (GHCP), Azure OpenAI, and intelligent automation toolchains. This role will drive RFP/proposal solutioning, lead strategic AI pilots, and deliver tangible quality, velocity, and cost benefits that accelerate client adoption of AI across the account. The architect will work closely with Sales, Delivery, DevOps, and Enterprise Architecture to position differentiated, automation-first QE solutions and enable account mining.

Key Responsibilities:

1. AI-Enabled QE Solutioning (Primary Charter)

• Architect AI-first QE solutions leveraging GHCP, Generative AI, ML-based defect prediction, autonomous test generation, and intelligent test data creation.
• Define AI use cases across the entire QE lifecycle—test design automation, risk-based optimization, impact analytics, and continuous validation.
• Build reusable AI accelerators, prompts, copilots, templates, and solution kits to differentiate QE offerings.
• Evaluate and recommend best-fit AI/QE platforms for client ecosystems including GHCP, Azure OpenAI, Selenium, Playwright, Tricentis, Katalon, and cloud-native DevOps stacks.
• Establish governance for responsible AI usage in QE.

2. Strategic Projects, Pilots & Account Mining

• Lead AI pilots and proof-of-value (PoV) initiatives to demonstrate measurable impact—cycle time reduction, automation uplift, defect leakage reduction, and cost efficiency.
• Drive cross-account AI adoption by identifying areas for modernization, automation, and AI-led productivity improvements.
• Shape new opportunities within accounts through strategic programs, capability showcases, and client workshops.
• Develop account-specific AI roadmaps, maturity models, and transformation charters.

3. Solutioning & Pre-Sales Leadership

• Own QE solutioning for RFPs, RFIs, and proposals, including estimation, delivery models, staffing, and differentiators.
• Create compelling value narratives highlighting AI-enabled acceleration, automation efficiency, and quality cost reduction.
• Represent QE in orals, client demos, and AI capability walk-throughs.
• Build scalable solution blueprints that integrate functional, automation, performance, security, data, and AI-driven validation.

4. Quality Engineering Leadership

• Provide architectural direction across Functional QA, UI/API automation, Performance, Security, and AI-led QE.
• Recommend enterprise-grade QE toolchains optimized for ERP, CRM, API-led, and cloud-native digital ecosystems.
• Drive QE modernization by introducing self-healing automation, autonomous test generation, shift-left testing, and DevOps‑integrated quality gates.

5. Collaboration, Governance & Delivery Alignment

• Work with Delivery, DevOps, Engineering, and Enterprise Architecture to ensure solution feasibility and adoption.
• Ensure seamless transition from solution to delivery including guardrails, scope clarity, and quality governance.
• Align solutions with organizational cost models, margin expectations, and client value realization frameworks.

Required Skills & Experience

• 12–15 years in QE; 3+ years in QE Architecture, AI-led QE, Solutioning, or Pre-Sales.
• Strong expertise with GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation, and enterprise automation frameworks.
• Demonstrated experience leading client-facing AI pilots/PoVs.
• Ability to create high-quality proposal content—estimates, assumptions, solution writeups, value metrics.
• Excellent communication, storytelling, and stakeholder influence skills.
• Experience working with bid teams and large transformation programs.

Preferred Skills / Certifications

• Experience with AI/QE in ERP (SAP/Oracle/NetSuite), CRM, MuleSoft/API-led integrations, and cloud modernization programs.
• exposure to performance engineering, application security, and DevOps pipelines.
• Certifications: ISTQB, Agile, AWS/Azure, DevOps, GitHub, or AI certifications.

We are seeking a talented Software Engineer 3 (Power BI Developer) to join a leading global financial institution on a long-term contract in Wilmington, DE. This role is ideal for someone with advanced Power BI skills, including DAX, Power Query/M, and complex data modeling, who has experience building executive dashboards and turning complex data into actionable insights. The position involves designing enterprise-level BI solutions, integrating data from multiple sources, and delivering analytics on toolchain adoption, productivity, and business impact. Candidates should have experience with platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools, and be comfortable mentoring junior team members and collaborating with cross-functional teams. This is an exciting opportunity to influence decision-making and contribute to strategic initiatives at a senior level.

Job Title: Software Engineer 3 (Power BI Developer)

Job Location: Wilmington, Delaware 19803

Job Duration: 12 months (with possible extension)

Only W2 Candidates

Join a leading global financial institution and work with some of the brightest minds in the industry. This long-term contract opportunity offers a competitive benefits package and a chance to contribute to innovative solutions in the financial services space. If you’re passionate about leveraging data to drive business impact and enjoy creating insights that influence key decisions, this role is for you.

Required Skills & Experience

• 4+ years of software engineering experience, or equivalent through consulting, training, military service, or education.
• 6+ years of Power BI experience, with at least 3 years focused on advanced development in enterprise environments.
• Proven expertise in designing BI solutions for enterprise software development ecosystems, toolchain adoption, and DevOps maturity.
• Experience connecting Power BI to various toolchain platforms (e.g., Jira, GitHub, Azure DevOps, CI/CD tools) and designing KPIs for adoption, onboarding, and usage.
• Advanced proficiency in DAX, Power Query/M, and complex data modeling for management-level reporting.
• Experience building executive dashboards covering adoption, risk, compliance, automation, productivity, and cost savings.
• Strong data integration skills, including ETL, API extraction, direct query, and on-prem/cloud data source integration.
• Deep understanding of enterprise data governance, security, access controls, and reporting best practices.
• Excellent communication skills with experience collaborating with both technical and business stakeholders.
• Demonstrated leadership in project delivery, solution architecture, and mentoring junior team members.

Desired Skills & Experience

• Expertise in enterprise DevOps, SDLC/ALM toolchains, engineering productivity tooling, or related reporting domains.
• Experience supporting executive or board-level reporting initiatives.
• Microsoft Power BI and/or Power Platform certification.
• Experience in highly regulated or financial services environments.

Key Responsibilities

• Participate in moderately complex software engineering initiatives and contribute to planning and delivery of enterprise solutions.
• Review, analyze, and resolve complex software engineering and BI challenges.
• Collaborate with engineering, operations, and transformation teams to gather requirements, define key metrics, and ensure data accuracy for management reporting.
• Architect, develop, and maintain advanced Power BI dashboards and reports focused on toolchain adoption, process maturity, and business impact.
• Serve as the enterprise subject matter expert in toolchain reporting, with knowledge of common platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools.
• Develop frameworks, data models, and methodologies to assess adoption and maturity metrics (e.g., tool usage, process adherence, automation coverage, delivery impact).
• Integrate data from multiple sources—including APIs, data lakes, internal databases, and vendor platforms—into Power BI using advanced transformations and DAX.
• Deliver meaningful executive and operational insights with robust drill-down capabilities for decision-making.
• Partner with business and IT leadership to present findings, recommend actions, and evolve analytics in alignment with strategic objectives.
• Define, document, and enforce best practices for management reporting, including data governance, security, and lifecycle management.
• Mentor and coach junior engineers and analysts on Power BI and toolchain reporting best practices.
• Maintain, monitor, and continuously enhance reporting solutions as enterprise needs evolve.
• Provide occasional after-hours support for critical reporting or deployment issues.

Project description

The customer is looking for a JavaFS / Spring / C# / CSS

Responsibilities

Collaborates with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements

Maintains and enhances existing enterprise services, applications, and platforms using domain driven design and test-driven development

Troubleshoots and debugs complex issues; identifies and implements solutions

Creates detailed project specifications, requirements, and estimates

Researches and implements new technologies to enhance current processes, security, and performance

Supports the development of coding standards and adheres to best practices and security guidelines

Works closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs"

Skills

Must have

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

5+ years of experience designing, developing, and implementing large-scale solutions in production environments TOP Skills Required: Java FullStack / focus on Front End

REACT .NET/C# SQL DataFactory UI Skills, Licenses & Certifications

Proficiency in Full Stack Development

Proficiency with the following technologies:

Programming Languages: C# required, PySpark and Python is a plus.

Frameworks: Spring/SpringBoot, FastAPI, .Net Core, .Net Framework

Front End Technologies: CSS, jQuery, AJAX, Hands on experience in Single Page Architectures such as React is required

Source Control: GitHub, Azure DevOps

CICD: GitHub Actions, Azure DevOps

Data management: PostgreSQL, MS SQL

Integration/APIs Technologies: Kafka, REST, GraphQL

Cloud Providers such as Azure

Other Dev Ops Toolchain: Selenium, SonarQube, GitHub, Kibana, New Relic 10. Proficiency in Networking and security concepts: OAuth, VNet Injection, VNet Integration, Private Endpoints, Azure Firewall 1

Proficiency in object-oriented design techniques and principles 1

Proficiency in Development Tools: Visual Studio, Visual Studio Code, SQL Server Management Studio, Azure Data Studio

Ability to concisely convey ideas verbally, in writing, in code, and in diagrams

Ability to work through others by cooperatively sharing responsibilities

Proficiency in Agile methodologies, such as SCRUM

Job Title / Role: DevOps Engineer

Key Skills: Azure, Devops and GitHub Actions

Experience: A minimum of 8 years related experience is required.

Location: San Diego, CA

Shift: 8 AM - 5 PM

Mode: Onsite

For this requirement we can work only on W2

We at Coforge are seeking "DevOps Engineer " with the Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or CircleCI to streamline workflows.

Required Skills

Build and maintain robust CI/CD pipelines to automate build, test, and deployment processes.

• Continuously improve pipelines for speed, reliability, and scalability.

• Integrate tools like Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or CircleCI to streamline workflows.

• Use tools like Terraform, CloudFormation, or Ansible to manage infrastructure provisioning and configuration.

• Deploy and manage cloud-based environments (AWS, Azure) to support application needs.

• Set up monitoring tools like Prometheus, Grafana, or Datadog to track application and infrastructure performance.

• Implement centralized logging solutions for easy debugging and auditing.

• Create automated alerting systems for real-time issue detection and resolution.

• Integrate security tools (e.g., SAST, DAST) into CI/CD pipelines to identify vulnerabilities early.

• Ensure adherence to regulatory and organizational compliance requirements.

• Develop automated processes for software builds and deployments.

• Work closely with developers, QA, and operations teams to enhance workflows and resolve bottlenecks. • Optimize infrastructure and applications for high availability, scalability, and efficiency.

• Analyze and reduce cloud or on-premises infrastructure costs without compromising performance. • Identify and resolve inefficiencies in the deployment pipeline and operational processes.

• Maintain up-to-date documentation for pipelines, infrastructure configurations, and processes.

• Stay updated with emerging DevOps tools and technologies to enhance the organization's tech stack.

Contact information:

Looking forward to receiving your profile, for more details please email at

Sr Software Engineer (Site Reliability Engineering)

Contract- 5+ months CTH possibility

Peachtree Dunwoody Atlanta GA Hybrid- 2 days in the office no relocation

Pay rate: 70/h W2 hourly

USC or GC holders only.

Skills

AWS broadly (EC2, but moving away and going to Fargate) ECS, code pipeline and build, deploy, RDS, Dynamo, WAP, CloudFront)

GitHub actions moving away from AWS code connect

Terraform (must) most of the day there, or CDK is a benefit but terraform the hard requirement

Terraform modules strong plus

Splunk, new relic, pager duty is great lot of alerting, dashboarding, capacity planning, running internal PaaS

Interview: 1st round with him, quick screen, overview on role, team structure, projects, high level tech questions, not coding more high-level systems design on the spectrum

Second round with tech leads: more systems design, potentially a live coding question things. Theu have an eye on people using AI to answer, culture ft as well.

Job Description:

This role is for an opening for a Senior Site Reliability Engineer (SRE) on the Manheim Logistics SRE team. The SRE team is tasked with designing and maintaining AWS infrastructure and deployment pipelines for Manheim Logistics' 15+ development teams. The team has currently standardized on a Docker-based infrastructure solution and is adding functionality to support new development team requests and architectural patterns (such as Lambda, Step Functions, Fargate, etc). The SRE team has a strong focus on IaC with Terraform and best practices such as least privilege access, proactive monitoring and alerting, etc. This role will work directly with a release train and help with IaC and SRE activites such as improving monitoring/alerting, defining an error budget, assisting with DevSecOps, etc.

As a Senior Site Reliability Engineer you will:

Strong automation experience- testing, deploying, monitoring, etc.

Take complex problems and come up with a technically reasonable solution

Experience working with and defining SLOs, error budgets, etc.

Have innate curiosity about how things work

Design and assist in the authoring of software tools that reliably manage application delivery & performance

Design and assist in the setup and maintenance of application monitoring and alerting

Engage with engineering teams to ensure best practices are implemented

Improve predictability and reliability of software releases, workflows, and operating software.

Reduce mean time to recovery (MTTR) by helping troubleshoot, monitor, alert, and automating recovery.

Qualifications:

Bachelor's degree in Computer Science or related field and at least 3-5 years working experience

Expertise in software development and architecture/solutioning experience

Strong background with Terraform

Experience with Amazon AWS technologies especially: ECS and Lambda

Experience with monitoring/observability tools such as: New Relic, Splunk, PagerDuty

Experience with agile development, continuous integration and automated testing

Solid written communication, problem solving, and process management skills

Preferred Skills:

Broad AWS platform skills including Cognito, WAF, Elasticache (Redis), Elasticsearch, SNS, SQS, S3, Systems Manager

Experience automating Terraform at scale

Experience with Database Server infrastructure (RDS, MySQL, Postgres, etc)

NET core development experience

GitHub Actions

Experience with Github, docker, and Linux adminstration experience

Role:

Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Location: New Haven, Connecticut

Responsibilities:

• Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
• Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
• Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
• Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.

Qualifications:

• 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor’s in CS, 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.
• Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• 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.
• Willing and able to travel and work on active jobsites.

This isn't a traditional AppSec role. It sits right at the intersection of AI-driven development, SaaS security, and financial-grade risk management—and they need someone who can help shape how security evolves alongside modern engineering.

Why this role stands out:

• Ownership of AppSec across 20+ SaaS applications in a highly regulated financial environment
• Direct involvement in securing AI-assisted development (Copilot, Cursor, Codex)
• Hands-on with AI-powered pentesting tools + modern SAST/DAST pipelines
• Opportunity to define secure AI coding guardrails (this is a big focus area for them)
• High collaboration with engineering, risk, and compliance—this is a true partner role, not a silo

What they're looking for:

• Strong background in application security + secure SDLC (SAST, DAST, SCA)
• Experience with code review (Python, C#, Java, or JavaScript)
• Exposure to AI-driven development environments and their security implications
• Ability to balance technical risk with business impact (this is key in their environment)
• Bonus if you've worked with SSPM tools or SaaS security at scale

• Location: Boston (4 days onsite)

Position: Cyber Incident Response Engineer

Location: Alhambra, CA (Onsite)

Pay Rate: $50-65/hr (W2)

Duration: 12 months

Position Overview:

We're looking for a skilled Security Engineer to secure complex technology environments and help bridge legacy systems with modern security practices.

What You'll Do:

• Conduct security audits, vulnerability testing, and code reviews
• Develop solutions to mitigate security risks
• Research emerging threats and advise teams on secure system design
• Collaborate across development and operations teams to ensure system privacy and protection

What We're Looking For:

• Experience: 10+ years in security engineering
• Tech & Tools: Microsoft Azure, Microsoft Sentinel, CrowdStrike, Tenable, Palo Alto Firewall, Zscaler, SIEM, KQL, MCP, LLM tools (Codex, Claude, or similar)
• Skills: Security architecture, networking, encryption, incident response, risk management, compliance frameworks (NIST, CIS, ISO 27001, PCI DSS)
• Systems: Windows, Unix, Mac; SQL, Azure, Oracle

Education & Certifications:

• Bachelor's in IT/Engineering (or equivalent experience)
• CISSP & ITIL Foundation

Job Description:

A Security Engineer serves as the security engineer of complex technology implementations in a product-centric environment; is comfortable with bridging our client between legacy development or operations teams and working toward a shared culture and vision; works to ensure developers create the most secure systems while enhancing the privacy of all system users; and has experience with white-hat hacking and fundamental computer science concepts.

The Security Engineer will perform security audits, risk analysis, application-level vulnerability testing, and security code reviews; develop and implement technical solutions to help mitigate security vulnerabilities; and conduct research to identify new attack vectors.

• Demonstrated skills in security architecture, IT Security, networking, or systems administration with an emphasis on security.
• Proven knowledge of security architecture design, network security, vulnerability management, and threat intelligence/analysis.
• Knowledge of common information security management frameworks, such as NIST, CIS, ISO 27001, COBIT, or PCI DSS.
• Strong understanding of encryption.
• Strong understanding of networking concepts and protocols (e.g., TCP/IP, LAN, WAN, DHCP, DNS, Routing Protocols, etc.)
• Expert-level knowledge of security systems such as SIEM (Microsoft Sentinel), IPS, Firewalls, and related network security tools.
• Operating Systems: Windows, Unix, Mac -Databases: SQL, Azure, Oracle.
• Must have hands-on experience using Model Context Protocol (MCP) to enable AI agents and large language models to interact with external tools, APIs, and enterprise data.

This classification must have a minimum of ten (10) years of experience with developing and implementing technical solutions to help mitigate security vulnerabilities.

• 2 years of experience with Microsoft Azure (IaaS, PaaS, IaaS), Microsoft Sentinel, CrowdStrike, Tenable, Palo Alto Firewall Zscaler KQL.
• 1+ years of experience developing AI-enabled solutions using modern LLM tools (e.g., Codex, Claude, or similar) to support GRC and Incident Response processes.
• 3+ years of experience within each of the following: - Incident response - managing the security of multiple platforms, operating system, software and network protocols for a large IT organization - risk management, auditing, assessment, industry security framework, and/or internal controls - security, operations, control assessment, risk management, auditing, and/or internal controls - with security and privacy legal and regulatory requirements - performing information security risk assessments and risk analysis.

Skills Required:

• Security Engineers will possess knowledge and experience in safeguarding sensitive data from cyber-attacks.

Experience Required:

• This classification must have a minimum of ten (10) years of experience with developing and implementing technical solutions to help mitigate security vulnerabilities.

Education Required:

• This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
• ITIL Foundation certification and CISSP (Certified Information Systems Security Professional)