Tech Business Analyst – Expertise in B2B Cross Border Payments

Role Summary

We are hiring a Data Engineer / ML Data Pipeline Engineer to build and operate the data backbone of the Enterprise AI platform:

What You'll Own

• Ingestion & ETL/ELT pipelines for heterogeneous project folders (PDF drawings, SVG files, IFC models, BBS.json bar-bending-schedule data, Excel exports, and AI agent output JSON).
• AWS-based data architecture: S3 raw/staging/curated/outputs structuring, partitioning, versioning, and lifecycle management; querying via Athena/Glue and warehousing via Redshift or Snowflake as needed.
• Data validation frameworks: GUID cross-referencing between SVG and BBS data, schema enforcement, duplicate/orphan detection, reference integrity checks, and structured validation reporting.
• Agent run logging & observability: designing the database schema and pipelines that track every AI agent run (inputs, outputs, status, errors, cost, retries, reviewer feedback).
• AI Factory monitoring dashboards: operational dashboards (failure rates, retries, latency, data quality) and business dashboards (throughput, cost per run, rework rate) for Power BI/QuickSight or equivalent.
• ML data pipeline support: dataset preparation, labeling/annotation workflows, human-in-the-loop review tooling, and dataset versioning for models that classify or QC drawing issues.
• APIs: designing and building FastAPI/Flask endpoints to trigger validation runs and expose agent processing status to internal tools.
• Data quality & testing discipline: idempotent pipelines, quarantine/reject handling, regression and reconciliation testing, and root-cause debugging when pipelines or query performance degrade in production.

Key Skills — Non-Negotiable (Must-Have, Strong Level)

• Python — production-grade scripting: file/folder handling, JSON/schema processing, clean error handling, not just notebook-level scripting.
• SQL — strong hands-on ability, including GROUP BY/HAVING for duplicate detection, window functions, and daily aggregate/rate calculations (e.g., success-rate queries).
• AWS S3 data handling — practical experience structuring buckets for raw/staging/curated data, versioning, and avoiding overwrite issues at scale.
• Data validation — demonstrable experience building validation logic (set comparisons, duplicate/missing detection, structured pass/fail reporting), not just "I write assertions."
• ETL/ELT pipeline design — end-to-end ownership of at least one pipeline: source → transform → storage → validation → monitoring → business outcome, with clear articulation of what they personally built.
• Query/warehouse engine judgment — working knowledge of when to use Athena vs. Redshift vs. Snowflake (or equivalent), partitioning, clustering, sort/distribution keys, and storage format trade-offs (Parquet vs. JSON vs. CSV).

Key Skills — Good to Have

• Dashboarding — Power BI / QuickSight (or equivalent) fact/dimension table design, KPI cards, drill-downs; medium-to-strong level is a plus but trainable.
• FastAPI / Flask — building real endpoints with request/response schemas and basic error handling; especially valuable for validation-trigger and agent-status APIs.
• ML data pipeline experience — dataset labeling, annotation platform design, train/test/validation splitting, dataset versioning; strong on the pipeline/data side rather than model training itself.
• Human-in-the-loop / review tooling — experience building or contributing to browser-based labeling/review platforms (session persistence, label schema, export formats).
• Large-scale metadata querying — experience making file discovery fast across large volumes (1,000+ projects, thousands of files each) via metadata index tables, event-based ingestion, or catalog tools like AWS Glue.

About the Role

We are seeking a highly skilled L3 Network & Network Security Engineer with Team Management responsibilities to lead the design, delivery, and support of secure network solutions for enterprise and mid-market customers.

As part of an IT System Integration company, this role combines deep technical expertise, team leadership, and customer-facing project delivery. You will act as a technical authority, mentor a team of engineers, and ensure high-quality implementation and support of complex network and security environments.

Key Responsibilities

Technical Leadership (L3)

• Act as the L3 escalation point for complex network and security incidents.
• Design, validate, and implement enterprise network architectures (LAN, WAN, WLAN, Data Center).
• Lead technical design workshops and solution reviews with customers.
• Perform advanced troubleshooting across routing, switching, and security domains.
• Review and approve high-risk configuration changes and deployments.
• Define technical standards, best practices, and reference architectures.

Network Engineering

• Design and support routing and switching technologies (BGP, OSPF, EIGRP, VLANs, STP, HSRP/VRRP).
• Deliver WAN, SD-WAN, MPLS, VPN, and internet connectivity solutions.
• Support network migrations, refresh projects, and infrastructure transformations.
• Produce high-quality design documents (HLD/LLD), implementation plans, and as-built documentation.

Network Security Engineering

• Design and implement secure network solutions including NGFWs, IDS/IPS, VPNs, and NAC.
• Define and enforce segmentation, access control, and zero-trust security models.
• Implement and manage firewall platforms (e.g., Palo Alto, Fortinet, Cisco Firepower, Check Point).
• Support compliance-driven customer requirements (ISO 27001, SOC 2, PCI-DSS, etc.).
• Work closely with SOC and security teams on incident response and remediation.

Team Management & Mentorship

• Lead, mentor, and develop a team of L1/L2/L3 network and security engineers.
• Assign workload, manage escalations, and ensure SLA adherence.
• Conduct performance reviews, coaching, and technical skill development.
• Support recruitment, onboarding, and technical training plans.
• Foster a culture of technical excellence, accountability, and continuous improvement.
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Project & Customer Engagement

• Act as a trusted technical advisor for customers.
• Collaborate with pre-sales teams on solution design, effort estimation, and technical validation.
• Support Proof Concepts (PoCs) and customer demonstrations.
• Ensure successful project delivery aligned with scope, timelines, and quality standards.
• Participate in change management, maintenance windows, and on-call rotations.
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Required Skills & Experience

• 5+ years of experience in enterprise networking and network security.
• Strong hands-on experience in L3 routing, switching, and firewall technologies.
• Proven experience leading or managing technical teams.
• Background working in an IT System Integrator, MSP, or project-based environment.
• Advanced troubleshooting skills across OSI Layers 1–7.
• Excellent customer-facing communication and documentation skills.
• Ability to balance hands-on engineering with leadership responsibilities.

Preferred Qualifications

• CCNP / CCIE / PCNSE / NSE / Check Point CCSA/CCSE or equivalent.
• Experience with SD-WAN and SASE solutions.
• Cloud networking and security (AWS, Azure, GCP).
• Automation and scripting experience (Python, Ansible, Terraform).
• ITIL or project management exposure is a plus.

Strong Lead Product Designer/ Sr product designer/ Product design manager Profile

Mandatory (Experience 1): Must have a minimum 6+ years of hands-on Product Design experience with product companies

Mandatory (Experience 2): Must have experience leading a team or mentoring junior designers (not a pure people manager)

Mandatory (Design Craft): Strong design craft with deep expertise in UX, interaction design, design systems, prototyping, problem-solving, and user-centered workflows. Should be able to individually assess and elevate design quality.

Mandatory (Collaboration): Proven ability to collaborate closely with Product, Engineering, Research, and cross-functional teams. Must have driven design-led projects, influenced product roadmap, and balanced short-term and long-term design priorities.

Mandatory (Portfolio): Portfolio or team-led work showing shipped, real-world product impact, improved user journeys, solved UX breakage, and scaled design quality across multiple products/features.

Mandatory (Company) - Well funded / Top Product Companies

Mandatory (Note): CTC is not flexible, ESOP can be based on candidate current compensation structure

Mandatory (Role): This is mix role (Team management + Hands-on)\

About the Role

We’re seeking a Senior Software Engineer to join our innovative team and build high-quality, scalable products. You’ll design intuitive user interfaces, leverage modern AI coding tools, and mentor junior engineers. Our tech stack includes React, Django, Go, and SQL databases, but we prioritize strong fundamentals and the ability to quickly learn any framework. This is an in-office role, requiring you to work from our office location.

Responsibilities

Design and develop scalable full-stack solutions with a focus on intuitive UI Use AI coding assistants (e.g., Cursor, Copilot, Clause Code) to enhance code quality and efficiency Mentor junior engineers, fostering technical growth and collaboration Translate business and product requirements into robust technical solutions Improve engineering processes and tools to boost productivity and scalability

Requirements

3+ years of professional full-stack development experience (post-internship) Proficiency in React, Django, Go, and SQL databases, or ability to learn fast Experience building user-friendly interfaces and using AI coding tools Strong problem-solving skills and ability to deliver high-quality, scalable features Passion for mentoring and thriving in a fast-paced, collaborative environment Willingness to work in-office at our designated location

Nice-to-Haves

Experience with other modern front-end or back-end frameworks Familiarity with DevOps practices or cloud platforms (e.g., AWS, GCP, Azure) Hands-on experience in building AI-Powered features. B2B SaaS Experience

Why Join Us?

Join a team where your strong fundamentals and adaptability drive innovation. We value ownership, collaboration, and building impactful products in a dynamic in-office environment.

We are looking for "Mulesoft Developer" for Reputed Client @ Coimbatore Permanent Role.

• 5 Years of IT experience

• Current 3+ years of hands-on MuleSoft development experience, including creating custom Mule

• Enterprise-level Java development experience (ex. J2EE web development experience using but not limited to EJB, Servlet, JDBC, ORM, etc.)

• Experience with SOAP and REST Web services, RAML Swagger open API development, and SOA APIs ensuring MuleSoft best practices.

• Experience with concepts for MuleSoft implementations including encryption, security, logging, throttling, scalability and clustering.

• A pro-active individual with strong communication skills

Mobile App Development:-

We are looking for 2 - 3 years of overall mobile app development experience out of which experience of at least 2+ years in developing native and hybrid mobile applications Should have handled end-to-end designing, development, testing, and deployment on any native Android/iOS platform.

Hands-on experience with native development will add advantage, Angular 6+ Excellent technical knowledge on HTML5, CSS3, JQuery, JQuery Mobile, AJAX, XML, JSON, Java, Bootstrap, PhoneGap, Angular JS.

Should have working experience in consuming Web Service and REST API.

Experience in Business Object Model implementation data integration with JSON/XML Designing and implementing different analytics interfaces such as charts, graphs etc.

Should have knowledge of App signing, publishing to Play-store and iTunes Well versed with code management like GIT, SVN Should be a team player

Roles and Responsibilities:-

• Develop hybrid mobile applications & deliver across the entire app life cycle concept,
• design, build, deploy, test, release to app stores.
• Work directly with the tech team to conceptualize, build, test, and realize products.
• Test the app on devices and Deploy it on Apple Store & Google Play Store.
• Standardizing the platform and in some cases apps to deliver across multiple brands with minimal duplication of effort and Optimizing performance for the apps.

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