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Job Title : Information Management (IM) Advisor – Data Controller

Job Overview :

The IM Advisor (Data Controller) will serve as the primary liaison between business and IT, ensuring best practices in Information Management (IM) solutions, compliance, and data governance.

This role involves designing and delivering IM solutions, ensuring compliance with IM standards, and driving awareness within the organization.

Key Responsibilities :

• Act as the first point of contact for Information Management, advising business teams on best practices and compliance.
• Implement and maintain control systems, procedures, and data validation processes for engineering data warehouses (EDW).
• Collaborate with contractors to ensure data consistency, validation, and integration into central repositories.
• Drive compliance with IM standards, data privacy regulations, and other legal requirements.
• Monitor and improve IM processes, ensuring efficient data handover and control mechanisms.
• Develop and manage data control procedures for projects, ensuring seamless transition to operations.
• Provide IM training to end users and manage offshore data support services.

Key Skills & Qualifications :

• Experience : 3-10 Years in data control on major capital projects, with EPC interface management.
• Technical Expertise :
• Engineering databases, SharePoint, and document management systems.
• Experience with Engineering Data Warehouses (SPF, AVEVA, AIM, ALIM).
• Reporting tools (Power BI, Tableau).
• Knowledge of engineering IM scope, data modeling, and maintenance processes.
• Compliance & Governance : Knowledge of GDPR, security, privacy, and IM best practices.
• Leadership & Communication : Strong interpersonal skills, global stakeholder engagement, and ability to manage multiple projects.
• Technology Awareness : Familiarity with RPA, AI, Blockchain, and machine learning in IM processes.

Preferred Qualifications:

• Previous experience with Shell or similar organizations.
• Knowledge of Agile methodologies and Continuous Improvement practices.

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Team Leader (Software Sales)

In-Office  Bangalore, Karnataka, India  Sales

Company Overview:

We are a technology company that provides unique, bespoke and cutting-edge Experiential Marketing Solutions and Services to organisations across sectors by leveraging the latest developments of Augmented Reality.

A leader in innovation, service, and consultation, the organisation, with cumulative leadership experience of 80+ years, has grown into a formidable company represented by 25+ senior experts in various fields located across the globe – all driven by a passion for the business and genuine love for small businesses.

Based out of India’s technology capital, Bengaluru, 4point2technologies has been a trailblazer in website architecture and development, developing customised applications, custom publishing, and digital marketing since 2004. 

Job Role: 

We are seeking an enthusiastic and highly motivated Software Sales Team Lead to join our dynamic sales team. 

Key Responsibilities

• Lead and motivate a team of software sales representatives to achieve individual and team sales targets.
• Develop, implement, and oversee effective sales strategies and processes for software products.
• Monitor, analyze, and report on sales performance metrics, adjusting tactics as necessary.
• Provide coaching, mentoring, and ongoing training to team members, fostering high performance.
• Collaborate with marketing, product development, and other internal teams to ensure alignment of sales activities with organizational goals.
• Build and maintain strong relationships with key clients, handling escalated customer issues promptly.
• Prepare and present sales reports and forecasts to senior management.
• Recruit, train, and onboard new sales representatives as needed.

Pre-Requsities:

• Bachelor’s degree in Business, Marketing, Technology, or a related field.
• Proven experience in software sales, with prior leadership or team management responsibility.
• Strong understanding of CRM tools and software sales cycles, preferably including SaaS experience.
• Demonstrated ability to achieve and exceed sales targets.
• Skills
• Strong leadership and motivational abilities.
• Excellent communication, negotiation, and interpersonal skills.
• Analytical mindset with the ability to interpret sales data and market trends.
• Proficiency with CRM and analytics software, such as Salesforce.

Why to Join?

The role requires a dynamic and results-driven professional who can inspire teams, drive growth, and deliver excellence in a fast-paced technology sales environment.

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

SailPoint Engineer

Job Description

Essential Functions

·      Build, design, develop, test and deploy software releases using automation tools and scripts.

·      End to End SDLA activities.

·      Designs solutions that integrate with the current IAM platform including provisioning, de-provisioning, and integration of applications for authentication and authorization.

·      Prepares accurate and detailed requirement specifications documents, including workflows, processes, requirements, and gap analysis.

·      On-board applications into the SailPoint IIQ platform and integrate with provisioning plans.

·      Coordinate with change management to test, validate, evaluate new applications and functions to ensure information adheres to requirements and business needs.

·      Work with InfoSec and Technology infrastructure teams to implement development and deploy pipelines.

·      Modify and enhance deployment frameworks as needed for new functionalities

·      Understands overall SailPoint product architecture and functions to support stakeholder discussions

·      Document operational runbooks and coordinate with Dev teams to review the functional and deployment checklists

·      Runs and understands the process to deploy java and SQL scripts for Application deployments and review/enhance processes

·      Proactively identifies process improvements and works with Dev teams to implement changes

·      Fully understand source control tools and provides support for advanced administration tasks

·      Able to install and configure operations environment tools in IT stack (Azure DevOps, JIRA, Confluence, Logging and Monitoring tools) and basic administration

·      Assist IAM Operations, Development and integrated application teams with Disaster Recovery tasks during DR tests.

·      Develop business relationships and integrate activities with other IT departments to ensure successful implementation and support project efforts

·      Engage is system administration to perform SailPoint system health checks and proactively work to reviving and restoring system health

·      Engage in defect management activities such as troubleshooting, root cause analysis, and produce related documentation

·      Assist development teams in implementing application changes and related code/release management

·      Maintain good relationships with customers and IT colleagues to meet customer service levels

·      Document status updates and maintain recurring report management cadence

·      Engage in training team members to maximize efficiency and identify methods to optimize daily work output

·      Problem-solve and think laterally as part of a team to meet the needs of the program

·      Required to perform duties outside of normal work hours based on business needs

·      Able to collaborate with teams across borders and streamline operational processes

Knowledge and Skills

·      Bachelor's Degree or equivalent combination of education and experience

·      Typically, 3-5 years of directly related experience.

·      3-5 years of directly related experience including working with enterprise IDM Products, commercial IAM products for a sizeable enterprise (preferably 5,000+ employees/Identities), user provisioning, and developing solutions for Identity Management, Single-Sign & Reduced Sign On, and Web Access Management

·      4+ years of operational experience with ongoing maintenance of company operating systems such as Email Administration (Exchange), Identity and Access Management (IAM) solutions, and Identity and User Account Management platforms

·      3+ years of experience using Java, JavaScript, XML, DSML.

·      5+ years of experience in SailPoint IdentityIQ and FAM solutions.

·      Experience with Databases (Oracle, Sybase, MSSQL, MySQL)

·      Experience with SailPoint IdentityIQ v7.x,8.x

·      Experience in identity management provisioning processes (lifecycle management processes, access request and access reviews)

·      Experience in testing processes (e.g., performance testing, System Integration, automated testing, test scripts, test cases and test plans)\.

·      Conducting code reviews.

·      Conducted ITIL standards activities for incidents, changes and enhancements.

·      Experience in deploying and maintaining software applications- Azure, Windows AD.

·      Familiar with cloud computing platforms and models is a plus.

·      Experience with directory management such LDAP/Active Directory solution

·      Experience with virtual directory solutions

·      Experience supporting SailPoint IIQ including monitoring tasks, initiating certifications, and executing reports.

·      Previous experience with Linux, Tomcat, ServiceNow, SQL Server etc.

·      Experience building custom connectors on the backend. (SailPoint/Java)

·      Experience managing Incidents, Service Request and Changes within defined SLAs.

·      SailPoint Implementation Experience

·      Experience in SailPoint LCM and PE Modules

·      Experience in Access Governance and Compliance

·      Knowledge of Role Engineering and SODs

·      Custom modules Development experience

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

~Lead conversion

~Revenue generation

~Proactively identifying cross-selling /Up-selling process with the existing ~customers

• Work Mode: Bangalore (Work from Office)
• Qualification: Graduation (Tech Background Preferable)

Job Brief

The job requires Sr Frontend Developer. This Developer is expected to have strong technical skills, work closely with the other team members in development and ability to work stand alone. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Skills Requirement

• Bachelor’s degree in Computer Science or related field plus 3-5 Years of frontend relevant experience
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Proficiency in HTML, CSS and Bootstrap
• Understanding of server-side CSS
• Strong knowledge of frontend scripting languages like JavaScript, jQuery, React js or Angular etc.
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Proficient understanding of cross-browser compatibility issues and ways to work around them
• Familiarity with browser testing and debugging
• Experience with responsive and adaptive design
• Experience with GitHub, Tortoise SVN Version Control
• Understanding of key design principles
• Strong attention to detail
• Knack for writing clean, readable, and easily maintainable code
• Sound analytical, problem-solving, and communication skills.

Responsibilities

• Translate application storyboards and use cases into functional applications
• Design, build and maintain efficient, reusable, and reliable code
• Ensure the best possible performance, quality, and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization
• Collaborating with coworkers to facilitate the creation of large, complex developments, as required.
• Reformulating existing code to ensure adherence to stipulated guidelines.
• Checking your code to detect and remedy errors and omissions.
• Testing your outputs to ensure that they are in excellent working order.
• Deploying developments and monitoring uptake by the target audience.
• Using clients' feedback to inform the creation of subsequent versions of each development.
• Remaining abreast of coding and technological changes that will impact your work.