Sr Azure Devops Engineer

Strong Senior Solutions Engineer Profile

Mandatory (Experience 1) – Must have 1+ years of relevant experience in pre-sales solution engineering in a Supply Chain / Sourcing / Operations domain environment

Mandatory (Experience 2) – Must have hands-on experience conducting technical discovery sessions, client demos, and proof-of-concepts (POCs) with enterprise or mid-market clients

Mandatory (Experience 3) – Must have experience in solutioning, configuring, and implementing techical demos of SaaS products

Mandatory (Company) - B2B SaaS in Logistic Tech, Supply Chain Tech, Operations Tech, Retail Tech, ERP etc

Mandatory (Education): MBA + BE/B.Tech background required.

We are seeking a Sr. Audit Manager who will be responsible for managing and supporting audit engagements across a varied client base. This role includes handling statutory audits, ensuring regulatory compliance, coordinating with clients, leading audit teams, and assisting senior leadership in delivering high-quality professional audit services.

Key Responsibilities :

• Manage, plan, and execute statutory audit assignments
• Lead audit engagements and guide junior team members
• Conduct audit risk assessments and develop suitable audit procedures
• Review audit working papers to ensure compliance with auditing standards
• Ensure adherence to Companies Act, Accounting Standards, and relevant regulations
• Liaise with client finance teams to collect data and close audit queries
• Prepare audit reports, observations, and management letters
• Track timelines and ensure audits are completed within deadlines
• Assist partners and managers in audit planning and client coordination
• Maintain high standards of professional documentation and audit quality

Requirements:

• 3–5 years of post-qualification statutory audit experience in a CA firm
• Strong knowledge of auditing standards and regulatory requirements
• Practical understanding of GST, Income Tax, and corporate compliances
• Capability to handle audit assignments independently or with minimal supervision
• Ability to manage multiple engagements and meet strict deadlines
• Strong analytical ability, communication skills, and client-handling experience
• Proficiency in MS Excel and audit or accounting software

Preferred (Added Advantage)

• Exposure to group audits and large-scale audit assignments
• Experience in internal audits, due diligence, or special audits
• Prior experience in reviewing work performed by articles or junior staff

Benefits

• Competitive compensation aligned with experience
• Opportunity to work on diversified audit engagements
• Professional development within a CA firm setup
• Supportive, collaborative, and learning-focused work environment

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed

• Knowledge on CAMPUS LAN Architecture and implementation

• Having exposure to Cisco’s latest technologies like SDA, DNAC

• Hand-on experience on designing and implementing Cisco SDA

• Strong Routing & Switching, Cisco SDA, DNAC, Cisco ISE skillset is a must.

• Hands On expertise on Cisco Prime, ISE, Cisco Meraki

• Hands on and troubleshooting SDA

• Experience on L 3

Services: Data Scientist

Exp 8+yrs

Location: Pune (preference)

As a Data Scientist who can help us with our innovation lab initiative, you will be responsible for extracting insights from large datasets and turning them into actionable strategies to drive business decisions. You will collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems and improve processes.

Advanced Degree: PhD or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field, demonstrating a strong foundation in theoretical and practical aspects of AI and machine learning.

Deep Technical Expertise: Proven track record of applying advanced statistical models, machine learning algorithms, and computational methodologies to solve complex problems in various domains.

Hands-on Experience with AI Technologies: Extensive experience in designing, implementing, and deploying AI solutions, including but not limited to natural language processing, computer vision, and predictive analytics projects.

Strong Programming Skills: Proficiency in programming languages such as Python, R, or Scala, and familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

Data Manipulation and Analysis: Expertise in handling and analyzing large datasets using SQL, NoSQL, and data processing frameworks (e.g., Spark).

Excellent Communication Skills: Ability to clearly articulate complex technical concepts, findings, and the business value of AI solutions to both technical and non-technical stakeholders.

Understanding of AI Ethics and Bias: Knowledge of ethical AI practices, including bias detection and mitigation strategies, to ensure the development of fair and responsible AI systems.

Problem-Solving Ability: Demonstrated ability to apply analytical and creative thinking to complex challenges, with a track record of innovative solutions in AI.

Collaboration and Leadership: Experience working in cross-functional teams, with the ability to lead projects and mentor junior team members in AI methodologies and best practices.

Industry-Specific AI Application Knowledge: Demonstrated experience in applying AI solutions to real-world problems in industries such as healthcare, finance, retail, or manufacturing, showing a deep understanding of sector-specific challenges and opportunities.

LLM Development and Customization: Hands-on experience in developing, fine-tuning, and deploying Large Language Models for applications such as conversational agents, content generation, and semantic analysis.

Advanced Natural Language Understanding (NLU) and Generation (NLG): Expertise in leveraging LLMs for complex NLU and NLG tasks, demonstrating a deep understanding of language model capabilities and limitations.

About Intraedge: https://intraedge.com/ 

Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology. 

This Role Will Need To Develop A Healthy Knowledge Of The Business Offerings, Services, And Products. Responsibilities Of Candidates Include:

• Meeting With Customers Digitally Or In-Person During Sales Visits

• Develop A Business Strategy To Ensure Area Sales Growth

• Demonstrating And Presenting Products

• Establishing New Business

• Arrange Business Meetings With Prospective Clients

• Generating The Leads

• Maintaining Accurate Records

• Achieve Agreed Upon Sales Targets And Outcomes Within The Schedule

• Look For New Business Opportunities

• Cold Calling Prospects

• Handle Inbound Queries

• May Need To Represent The Company At Events

• Developing change management plans for projects and/or change initiatives.
• Evaluating the impact of planned organisational change.
• Identifying risks and developing risk mitigation tactics.
• Identifying and managing anticipated resistance to change.
• Leading change management work streams with a structured methodology / process.
• Supporting development of communications relevant to change initiatives.
• Providing coaching and training to employees at all levels.
• Defining success metrics and measuring performance against these.
• Providing reporting and other updates to management and project teams.