Qureos Mentor

ThoughtFocus

<div><div>Contract to Hire : Cyber Security Consultant for SOC-2 Type-II Implementation for a Banking project :</div><br>
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<h2 class="jobSectionHeader"><b>Role Summary</b></h2>
<div>We are seeking a Senior Technical Lead to drive the technical implementation and operational readiness of our SOC 2 Type II compliance program. The role will partner closely with Security, Engineering, DevOps, IT, Product, Legal, and external auditors to design, implement, automate, and continuously monitor controls across the organization. Similar roles typically involve owning evidence readiness, control mapping, remediation tracking, and auditor support across SOC 2 Trust Services Criteria.linkedin+2</div>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Lead end-to-end technical execution of the SOC 2 Type II implementation program.</li>
<li>Map existing systems, processes, and controls to SOC 2 Trust Services Criteria.</li>
<li>Identify control gaps and drive remediation plans with engineering and operations teams.</li>
<li>Design and operationalize technical controls for access management, MFA, logging, monitoring, encryption, vulnerability management, backup, incident response, change management, and secure SDLC.</li>
<li>Build scalable evidence collection and continuous compliance workflows.</li>
<li>Coordinate auditor walkthroughs, evidence requests, and responses.</li>
<li>Maintain control narratives, policies, procedures, and audit artifacts.</li>
<li>Track remediation tasks, risks, exceptions, and compliance milestones.</li>
<li>Collaborate with stakeholders to ensure controls are sustainable in cloud-native and SaaS environments.</li>
<li>Support awareness, training, and readiness activities across teams.</li>
<li>Recommend automation opportunities to reduce manual compliance effort.linkedin+3</li>
</ul><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<ul><li>8+ years of experience in technical leadership, security engineering, infrastructure, DevOps, or cloud engineering.</li>
<li>Hands-on experience supporting SOC 2 Type II, ISO 27001, or similar assurance/compliance programs.</li>
<li>Strong understanding of cloud security, IAM, logging, monitoring, encryption, CI/CD, and vulnerability management.</li>
<li>Experience working with auditors, cross-functional teams, and evidence collection workflows.</li>
<li>Ability to translate compliance requirements into technical controls and operational processes.</li>
<li>Familiarity with SaaS, cloud-native, and modern software delivery environments.</li>
<li>Excellent documentation, stakeholder management, and program coordination skills.</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<ul><li>Experience with compliance automation tools such as Vanta, Drata, or similar platforms.</li>
<li>Knowledge of NIST, CIS, ISO 27001, or other security frameworks.</li>
<li>Experience with risk assessments, control testing, and remediation tracking.</li>
<li>Background in secure SDLC, DevSecOps, and cloud architecture.</li>
<li>Exposure to privacy, vendor risk management, and business continuity controls.linkedin+2</li>
</ul><h2 class="jobSectionHeader"><b>Core Deliverables</b></h2>
<ul><li>SOC 2 Type II readiness plan and implementation roadmap.</li>
<li>Control matrix mapped to TSC requirements.</li>
<li>Evidence repository and recurring collection process.</li>
<li>Audit-ready documentation and narratives.</li>
<li>Gap remediation tracker and risk register.</li>
<li>Reporting dashboard for leadership and auditors.</li>
</ul><h2 class="jobSectionHeader"><b>Nice-to-Have Impact Areas</b></h2>
<ul><li>Automating evidence collection from cloud, identity, CI/CD, and ticketing systems.</li>
<li>Embedding compliance checks into release pipelines.</li>
<li>Standardizing policies and operational procedures.</li>
<li>Building a repeatable compliance operating model for future audits and certifications.</li></ul></div><div></div>

Senior Engineer

<div><div><b>Principal Data Strategist<br>
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<div>Data &amp; AI Practice &middot; Senior Individual Contributor &middot; Travel Required</div><br>
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<div><b>About the Role
</b></div><div>ThoughtFocus is looking for a rare combination: a seasoned data technologist and business transformation advisor who can walk a client&rsquo;s architecture, challenge its assumptions, and then walk into the boardroom to shape strategy and drive deals. The Principal Data Strategist is a senior revenue-influencing role at the</div>
<div>intersection of deep technical authority and executive-level client influence &mdash; owning the narrative on data driven business transformation, AI readiness, and the solutions ThoughtFocus delivers.</div><br>
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<div>You will work across the full sales and engagement lifecycle &mdash; from opportunity origination to close to outcome realization. You thrive in fast-paced, high-demand environments, manage multiple client situations simultaneously without losing quality or composure, and bring a builder&rsquo;s mindset to both client work and the</div>
<div>ThoughtFocus practice.</div><br>
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<div><b>What You Will Do
</b></div><div><b>Revenue Generation &amp; Client Engagement
</b></div><ul><li>Drive revenue by identifying, shaping, and closing data and AI opportunities &mdash; operating as a senior</li></ul>
<div>technical seller who earns trust through credibility, not just relationships.</div>
<ul><li>Partner with account and sales teams across the full opportunity lifecycle: qualification, solution shaping,</li></ul>
<div>proposal development, and close.</div>
<ul><li>Lead executive briefings, discovery workshops, and whiteboard sessions &mdash; translating complex data</li></ul>
<div>and AI concepts into compelling business value narratives for C-suite and VP-level audiences.</div>
<ul><li>Develop crisp, persuasive proposals, roadmaps, and business cases that connect ThoughtFocus</li></ul>
<div>capabilities to client transformation priorities.</div>
<ul><li>Travel to client sites regularly to build relationships, advance opportunities, and maintain trusted advisor</li></ul>
<div>status.</div><br>
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<div><b>Data &amp; AI Strategy Advisory
</b></div><ul><li>Advise clients on enterprise data strategy in the context of business technology transformation &mdash; not just modernization for its own sake, but data as a strategic asset that drives competitive advantage.</li></ul>
<ul><li>Guide clients on building AI-ready data foundations: governance, quality, lineage, integration, and architecture patterns that make reliable AI adoption possible at scale.</li></ul>
<ul><li>Bring working knowledge of agentic AI, LLM integration into data pipelines, and AI governance frameworks &mdash; enough to shape strategy, challenge vendor claims, and define a credible path forward.</li></ul>
<ul><li>Define current- and target-state architectures spanning cloud, hybrid, and legacy environments; translate them into phased, actionable roadmaps tied to business outcomes.</li></ul>
<ul><li>Guide platform and tooling decisions across the full data spectrum: architecture, modeling, ETL/ELT, integration, analytics, data science, and AI/ML.</li></ul><br>
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<div><b>Engagement Oversight &amp; Client Success
</b></div><ul><li>Provide senior strategic oversight on large, complex engagements &mdash; ensuring delivery aligns with the original vision and clients realize tangible ROI from ThoughtFocus solutions.</li></ul>
<ul><li>Bridge the gap between delivery teams and client stakeholders; serve as the escalation point for strategic misalignment.</li></ul>
<ul><li>Work in close coordination with onsite and offshore delivery teams; bring deep fluency in the global delivery model to structure engagements that work across geographies and time zones.</li></ul><br>
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<div><b>Practice Development
</b></div><ul><li>Contribute to the ThoughtFocus Data &amp; AI practice: develop reusable offerings, points of view, solution accelerators, and go-to-market assets.</li></ul>
<ul><li>Help build ThoughtFocus&rsquo;s market presence &mdash; through thought leadership, client storytelling, and representing the firm&rsquo;s data and AI capabilities externally.</li></ul><br>
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<div><b>What You Bring
</b></div><div><b>Experience
</b></div><ul><li>15+ years of progressive experience across the data discipline &mdash; architecture, modeling, ETL/ELT, data movement, analytics, data science, and AI.</li></ul>
<ul><li>Demonstrated track record of influencing and driving revenue in a pre-sales, solution advisory, or consulting capacity.</li></ul>
<ul><li>Experience in a fast-paced, matrixed environment managing multiple client engagements and priorities simultaneously.</li></ul>
<ul><li>Background overseeing large, complex data programs &mdash; not as a day-to-day delivery manager, but as the strategic authority accountable for outcomes.</li></ul>
<ul><li>Fluency in the onsite-offshore global delivery model; you know how to architect and manage engagements that work across geographies.</li></ul><br>
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<div><b>Technical Depth
</b></div><ul><li>Full-stack fluency across legacy and modern data platforms &mdash; from Teradata, Informatica, SSIS, and Oracle to cloud-native architectures.</li></ul>
<ul><li>Hands-on familiarity with Databricks, Snowflake, and Microsoft Fabric; comfortable advising on architecture, fit, and trade-offs for each.</li></ul>
<ul><li>Data modeling (3NF, dimensional, data vault), ETL/ELT patterns, streaming architectures, data mesh and data fabric concepts.</li></ul>
<ul><li>AI/ML operationalization, agentic AI patterns, LLM integration into data pipelines, and AI governance frameworks.</li></ul>
<ul><li>Data governance, cataloging, lineage, and quality frameworks (Collibra, Alation, Great Expectations, or equivalents).</li></ul>
<ul><li>Familiarity with major cloud hyperscalers &mdash; AWS, Azure, GCP &mdash; and their data and AI service ecosystems.</li></ul><br>
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<div><b>Communication &amp; Executive Presence
</b></div><ul><li>Exceptional written and verbal communication &mdash; you write crisp proposals, tell coherent stories, and never hide behind jargon.</li></ul>
<ul><li>Confident and compelling at the whiteboard: you sketch architectures, frameworks, and roadmaps in real time and bring a room with you.</li></ul>
<ul><li>Equally at ease in a deep technical exchange with a data engineer and a strategic conversation with a CTO, CDO, or CFO.</li></ul>
<ul><li>Comfortable operating in ambiguity and at pace &mdash; you manage multiple threads without losing sharpness or client focus.</li></ul><br>
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<div><b>Nice to Have
</b></div><ul><li>Prior experience with financial services, manufacturing, or health tech clients.</li></ul>
<ul><li>Consulting or advisory firm background with a track record of shaping and delivering client engagements.</li></ul>
<ul><li>Experience building or contributing to a Center of Excellence, practice area, or go-to-market offering.</li></ul><br>
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<div><b>About ThoughtFocus
</b></div><div>ThoughtFocus is a specialized IT services firm delivering technology solutions to clients in Banking &amp; Insurance, Capital Markets, Payments, Mortgage &amp; Lending, and Manufacturing. With a seasoned onsite leadership team and a proven global delivery engine, we partner with clients to modernize, scale, and extract</div>
<div>strategic value from their technology investments. Our Data &amp; AI practice is a core growth engine &mdash; and this role sits at the center of it.</div></div><div></div>

Senior Lead Business Consultant

<div><h1 class="jobSectionHeader"><b>Lead Software Engineer (Agentic AI &amp; Strong Programming) 6-8 Years</b></h1>
<h2 class="jobSectionHeader"><b>Role Overview</b></h2>
<div>We are looking for an AI Engineer with strong programming fundamentals and hands-on experience in Agentic AI development. The ideal candidate should be language-agnostic and capable of working across multiple technologies, with expertise in any of the following programming languages: Python, Java, C#, or C++.</div>
<div>This role requires solid experience in system design, OOP principles, REST API development, and building scalable AI-driven applications.</div>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design and develop AI agent-based systems and workflows</li>
<li>Build scalable backend services and REST APIs</li>
<li>Apply OOP principles and design patterns in production systems</li>
<li>Integrate LLMs and AI capabilities into applications</li>
<li>Solve complex technical problems</li>
<li>Work across multiple programming languages when required</li>
<li>Collaborate with cross-functional teams</li>
<li>Containerize applications using Docker and support deployments</li>
<li>Contribute to architecture and technical design decisions</li><br>
</ul><div></div><br>
<h2 class="jobSectionHeader"><b>Required Skills (Must Have)</b></h2>
<ul><li>Strong programming skills in any of the following: Python, Java, C#, or C++</li>
<li>Strong understanding of Object-Oriented Programming (OOP)</li>
<li>Good knowledge of Design Patterns</li>
<li>Strong problem-solving skills</li>
<li>Hands-on experience building REST APIs</li>
<li>Experience with AI Agent / LLM-based development</li>
<li>Experience with LangChain, LangGraph, or similar AI agent frameworks</li>
<li>Experience building RAG (Retrieval-Augmented Generation) systems</li>
<li>Experience with AI-assisted coding / coding with AI tools</li>
<li>Ability to effectively leverage AI tools for development productivity</li>
<li>Exposure to Cloud platforms (AWS / Azure / GCP)</li>
<li>Experience with Docker</li>
<li>Ability to learn and adapt to new technologies quickly</li><br>
</ul><div></div><br>
<h2 class="jobSectionHeader"><b>Preferred (Good to Have)</b></h2>
<ul><li>Understanding of Data Structures &amp; Algorithms</li>
<li>Kubernetes exposure</li>
<li>Microservices architecture experience</li>
<li>Experience building scalable distributed systems</li>
<li>CI/CD pipeline experience</li><br>
</ul><div></div><br>
<h2 class="jobSectionHeader"><b>Ideal Candidate</b></h2>
<ul><li>Strong in engineering fundamentals</li>
<li>Language-agnostic developer</li>
<li>Comfortable working on new technologies</li>
<li>Eager to learn and adapt quickly</li>
<li>Strong analytical and logical thinking</li>
<li>Can contribute to architecture discussions</li></ul></div>

Lead Engineer

<div><div>We're looking for a hands-on data engineer who is comfortable writing production-grade SQL, designing ADF pipelines, and questioning whether the thing you're about to build should exist at all. You'll work across our data platform &mdash; from ingestion through reporting &mdash; and partner closely with finance, IR, and portfolio teams to turn undocumented source data into consistent, well-documented and reliable, governed assets. This is not a role for someone who wants to maintain the status quo. You'll be expected to identify what should be automated, document what needs standards, and push back when something is being over-engineered. What You'll Do &bull; Proactively seek clarification when business requirements are ambiguous prior to beginning development work, while exercising independent judgment on technical design decisions. &bull; Keep work item tickets current in Azure DevOps &mdash; updating status, notes, and linked artifacts as work progresses so the team always has an accurate picture. &bull; Write and maintain complex stored procedures, views, and functions in SQL, following team naming and header standards, and building those standards along the way. &bull; Conduct peer code reviews with Git-based workflows (Azure DevOps/GitHub); understands that code review means actually reviewing &mdash; not rubber-stamping PRs. &bull; Contribute to and enforce engineering standards (SQL, ADF, Python, Git branching conventions). What We're Looking For &bull; 3&ndash;6 years in data engineering, preferably from a technology-first environment. &bull; Experience with a cloud data warehousing platform (Databricks, Snowflake, or similar); preference to Databricks, but proficiency in one translates readily to another. &bull; Strong SQL; T-SQL specifically is a plus. &bull; Python; specifically PySpark and experience with working with dataframes, comfortable with interfacing with APIs &bull; Experience with Azure Data Factory, parameterization of data sets, pipelines, and focused on building re-usable pipelines. &bull; Openness to exploring and embracing new technologies, unafraid of automation. &bull; A low tolerance for repetition and a reflex to automate before complaining &bull; Clear communicator who can write documentation. Bonus Points &bull; Experience with CICD / DevOps Release Pipelines, YAML Configurations &bull; Work with AI/MCP tooling to connect data assets to LLM workflows (you've already done this and will do more of it) &bull; Web Application and Infrastructure, Networking Experience &bull; Power BI Reporting</div></div>

Senior Associate

<div><div>Seeking a skilled Business Analyst to interpret stakeholder requirements, conduct thorough data analysis, and facilitate effective communication. Responsible for translating business needs into actionable plans, streamlining processes, and collaborating with cross-functional teams to drive strategic solutions aligning with organisational goals.</div>
<div><b>Responsibilities:</b>
</div><ul><li><ul><li>Be responsible for collaborating with stakeholders to gather and document business requirements, ensuring clarity and understanding.</li>
<li>Have to analyse data sets to derive actionable insights, identify trends, and support decision-making processes.</li>
<li>Be responsible for identifying inefficiencies in workflows or systems and proposing solutions to optimise business processes.</li>
<li>Be responsible for creating detailed documentation of requirements, workflows, and outcomes.</li>
<li>Generate reports to communicate findings effectively.</li>
<li>Have to act as a liaison between business stakeholders and technical teams, ensuring smooth communication and understanding of project objectives.</li>
<li>Be responsible for translating business needs into functional specifications or user stories, and guiding the development of software or system solutions.</li>
<li>Be responsible for collaborating with QA teams to validate developed solutions, ensuring they meet business requirements.</li>
<li>Be responsible for monitoring implemented solutions, gathering feedback and recommending further enhancements to align with evolving business needs.</li>
</ul></li></ul><div><b>Requirements and Skills:
</b></div><ul><li><ul><li>5+ years of experience in the field of business analysis.</li>
<li>Ability to analyse complex data sets, identify patterns, and derive meaningful insights to support decision-making and problem-solving.</li>
<li>Excellent verbal and written communication skills to effectively interact with stakeholders, convey technical information clearly and create comprehensive documentation.</li>
<li>Understanding of business processes, workflows, and industry-specific knowledge to align solutions with organisational goals and strategies.</li>
<li>Capability to identify issues, evaluate alternatives, and propose innovative solutions to address business challenges.</li>
<li>Familiarity with business analysis tools, data analysis software, and an understanding of software development methodologies (Agile, Waterfall, etc.).</li>
<li>Expertise in gathering and documenting detailed business requirements, creating functional specifications, and user stories.</li>
<li>Skill in managing relationships and expectations among diverse stakeholders, including clients, users, developers, and management.</li>
</ul></li></ul><div>Ability to adapt to changing project scopes, priorities, and timelines while remaining focused on delivering quality outcomes.</div></div>

Business Analyst

Join ThoughtFocus and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

ThoughtFocus

About Company

Senior Engineer

Senior Lead Business Consultant

Lead Engineer

Lead Engineer

Senior Associate

Business Analyst