Senior Executive QA

Job Title : Senior System Administrator

Experience : 7 to 12 Years

Location : Bangalore (Whitefield/Domlur) or Coimbatore

Work Mode :

• First 3 Months : Work From Office (5 Days)
• Post-Probation : Hybrid (3 Days WFO)
• Shift : Rotational (Day & Night)
• Notice Period : Immediate to 30 Days
• Salary : Up to ₹24 LPA (including 8% variable), slightly negotiable



Role Overview :

Seeking a Senior System Administrator with strong experience in server administration, virtualization, automation, and hybrid infrastructure. The role involves managing Windows environments, scripting, cloud/on-prem operations, and ensuring 24x7 system availability.

Mandatory Skills :

Windows Server, Virtualization (Citrix/VMware/Nutanix/Hyper-V), Office 365, Intune, PowerShell, Terraform/Ansible, CI/CD, Hybrid Cloud (Azure), Monitoring, Backup, NOC, DCO.

Key Responsibilities :

• Manage physical/virtual Windows servers and core services (AD, DNS, DHCP).
• Automate infrastructure using Terraform/Ansible.
• Administer Office 365, Intune, and ensure compliance.
• Support hybrid on-prem + Azure environments.
• Handle monitoring, backups, disaster recovery, and incident response.
• Collaborate on DevOps pipelines and write automation scripts (PowerShell).

Nice to Have :

MCSA/MCSE/RHCE, Azure admin experience, team leadership background

Interview Rounds :

L1 – Technical (Platform)

L2 – Technical

L3 – Techno-Managerial

L4 – HR

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

1. Corporate Finance & Controls:

• Financial Oversight:

 Provide excellent leadership and management of Group Finance, measured by the effectiveness,

engagement and business units’ respect of the team.

 Build productive working relationships with stakeholders to understand their business operations

and the financial information needs of end users.

 Manage relationships with others across the Group to achieve alignment in key business strategies

and decisions.

 Collaborate, design, implement and review finance systems, policies and procedures to ensure

continuous improvement and contemporary, relevant practices.

 Oversee all month-end closing activities, ensuring accurate, timely, and compliant financial

reporting.

 Lead the budgeting, forecasting, and variance analysis processes, integrating insights into overall

division planning.

 Provide strategic advice on accounting policies, ensuring alignment with group standards and

regulatory requirements.

 Act as the primary point of contact for Group Accounts and Internal Audit, coordinating all

communication and reporting.

• Capital Allocation & Investment Strategy:

 Offer financial insights to optimize capital allocation across Company’s projects and initiatives.

 Collaborate with the executive team to evaluate ROI for potential investments, expansions, and

capital projects.

• Strategic Financial Modelling:

 Develop and maintain comprehensive financial models to support long-term strategic planning,

including scenario analysis for critical business decisions.

 Assess the financial impacts of new initiatives and recommend adjustments to align with

Company’s financial goals.

• Performance Metrics & Benchmarking:

 Design and implement performance metrics and benchmarking standards, driving continuous

improvement in both financial and operational performance.

2. Management Accounting:

• Accounting Oversight:

 Oversee finance systems managing transaction flows from source through interfaces to the general

ledger.

 Ensure finance ledgers are maintained on a timely basis, are accurate and complete, and are

structured for the dual purpose of providing relevant information to internal users and meeting

statutory obligations.

 Ensure reporting functions and responses to ad hoc requests for financial-related information are

appropriately delivered.

• Cost and Revenue Analysis:

 Manage the COMPANY Group’s financial reporting obligations, with responsibility for the

preparation and lodgement of compliant full-year and half-year consolidated accounts.

 Perform in-depth analysis of revenues and costs across customers, vendors, projects, business

units, and service lines, identifying areas for financial optimization.

 Oversee cost management initiatives, including policy formulation, variance analysis, and

implementation of zero-based budgeting principles.

 Prepare annual budgets for holding company entities.

 Perform the accounting function for Company business units.

• Enhanced Financial Intelligence:

 Develop real-time financial dashboards and reporting tools, enabling proactive management and

strategic decision-making by internal stakeholders.

• Systems and Process Improvement:

 Lead process automation and technology integration initiatives within finance and commercial

functions, enhancing efficiency and accuracy.

3. Commercial Activities:

• Bid & Proposal Development:

 Provide financial analysis and strategic input on bids, proposals, and pricing structures to secure

profitable COMPANY projects.

 Work closely with the sales team to ensure that commercial terms align with Company’s financial

targets and risk thresholds.

• Strategic Supplier Relationship Management:

 Cultivate and maintain strategic relationships with key suppliers, ensuring contract terms support

Company’s financial and operational objectives.

 Conduct quarterly business reviews with suppliers to monitor and ensure alignment with

contractual commitments.

• Lead Commercial Negotiations:

 Approve deal calculations in line with authority tables and negotiate favorable commercial terms

with suppliers and customers.

 Oversee vendor financing arrangements and collaborate with credit control on establishing

acceptable payment terms.

4. Collaboration with Corporate Support Functions:

• Manage Receivables: In collaboration with Company Group’s Credit Management team, oversee aged

receivables, ensuring alignment with cash flow targets and minimizing outstanding amounts. Address

persistent payment delays in partnership with business units, credit management, and customers.

Establish customer creditworthiness policies to mitigate risk and support sustainable collections.

• Policy Development: Formulate and enforce policies that ensure compliance with corporate governance,

regulatory standards, and vendor requirements.

• Ensure Legal & Compliance Alignment: Act as the main liaison for in-house legal and corporate secretary,

overseeing contract terms, renewals, and legal matters. Manage disputes through litigation or alternative

resolution, coordinating with legal advisors. Maintain vendor compliance, ensuring regulatory adherence.

• Support Human Capital Management: In collaboration with Company Group’s HR team, act as the main

liaison for in-house legal and corporate secretary, overseeing contract terms, renewals, and legal matters.

Manage disputes through litigation or alternative resolution, coordinating with legal advisors. Maintain

vendor compliance, ensuring regulatory adherence.

• Talent Development: Implement training programs for finance and commercial teams to support

divisional goals and ensure succession planning for critical roles.

5. Risk Management:

• Enterprise Risk Assessment: Conduct regular assessments to identify financial, operational, and market

risks, developing appropriate mitigation strategies. Regularly review the risk landscape with senior

management.

• Crisis & Contingency Planning: Develop contingency plans to manage potential disruptions, including

currency volatility, supply chain risks, and project delays.

• Risk Registry Maintenance: Maintain and regularly update the division’s risk registry, ensuring that all

risks are effectively tracked, monitored, and mitigated.

REQUIRED EXPERIENCE

• Minimum 15-20 years of experience in senior finance and commercial roles, with a strong focus on

COMPANY, technology, or related industries, preferably in the Middle East.

• Proven ability to manage large-scale financial operations, including P&L responsibility, commercial

negotiations, and risk management.

• Demonstrated experience in implementing and maintaining strong financial controls within a large

organization.

• Experience in managing strategic business partnerships with global IT brands, negotiating high-value

contracts, and driving financial performance for complex, high-growth businesses.

• Strong stakeholder management skills, with a proven ability to engage effectively with senior executives

and external stakeholders.

EDUCATION & SKILLS

Education:

• Bachelor’s degree in Finance, Accounting, Business Administration, or a related field is required. A

Master’s degree or equivalent postgraduate qualification is preferred.

• Professional certifications such as CPA, ACCA, or CIMA are highly desirable.

Skills:

• Strong leadership and team management skills, with the ability to mentor and develop high-performing

teams.

• Excellent financial acumen, with expertise in financial planning, analysis, reporting, and the

implementation of financial controls.

• Strong commercial negotiation skills, particularly in contract and deal structuring.

• Excellent communication and interpersonal skills, with the ability to engage with senior executives and

external stakeholders.

• In-depth knowledge of financial regulations, corporate governance, and risk management frameworks.

• Proficiency in financial software, ERP systems, and advanced Excel skills.

Expected Date of Joining Immediate/ 30 days  

What makes Techjays an inspiring place to work

At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.

We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.

Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.

About the role

We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.

You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.

Years of Experience: 3 - 7 years

Location: Coimbatore

Key Skills

Backend Development (Familiar):

• Python
• Django / Flask
• RESTful APIs
• Websockets

Cloud Technologies (Familiar):

• AWS (EC2, S3, Lambda)
• GCP (Compute Engine, Cloud Storage, Cloud Functions)
• CI/CD pipelines with Jenkins / GitLab CI or Github Actions

Databases (Familiar):

• PostgreSQL
• MySQL
• MongoDB

AI/ML (Familiar):

• Basic understanding of Machine Learning concepts
• Assist in building and integrating Agentic AI workflows
• Familiar with RAG
• Vector Databases (Pinecone or ChromaDB or others)

Tools:

• Git
• Docker
• Linux

Roles and Responsibilities

• Develop and maintain backend services using Python and Django/Flask under guidance.
• Assist in building scalable and secure APIs and backend systems for AI-driven applications.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
• Participate in code reviews, debugging, and performance optimization.
• Support integration of AI/ML components such as LLMs and RAG pipelines.
• Continuously learn and improve technical skills in backend and AI technologies.

What We’re Looking for Beyond Skills

• Builder mindset — you think in systems, not just tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous environments
• Clear communication and collaborative approach
• Ability to work in a fast-paced, evolving startup environment

What We Offer

• Competitive compensation
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems
• Exposure to global clients and high-impact projects
• A culture that values clarity, integrity, and continuous growth

Responsible for managing daily service schedules and in-house service activities, preparing technical reports, maintaining records of installations and services, handling order reviews and payment follow-ups, and ensuring consistent 5S implementation on a daily basis.

Key Responsibilities:

• Identify and acquire new clients for stock broking services
• Promote products like Equity, F&O, Commodity, and Mutual Funds
• Generate leads through calls, field visits, social media, and references
• Assist clients in opening Demat & Trading accounts
• Maintain strong relationships with existing clients
• Achieve monthly and quarterly sales targets
• Provide basic market information and guide clients to advisors
• Follow up with prospects and convert them into active investors

Skilled in developing and executing automated scripts using Selenium web driver, Java and TestNG . Automation engineer - java, selenium, python.

Requirements

• 2+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• Linux
• SpringBoot or Spring MVC
• Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Java 8
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.