Technical Screening Consultant

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Join us as a seasoned Technical Screening Consultant and play a key role in shaping the future of our tech talent! Partner with our dynamic recruitment team to conduct in-depth rigorous technical assessments across a wide range of IT roles including software engineering data cloud DevOps cybersecurity QA and enterprise applications. This role bridges talent acquisition and engineering ensuring that only technically qualified candidates progress to client interviews.

What Youll Do (Responsibilities):

Own technical evaluations after recruiter screen: conduct structured assessments (live and/or take home) and produce pass/no pass recommendations.
Design role specific assessment frameworks: skills matrices scorecards question banks coding exercises and scenario simulations per job family (dev data cloud IT ops).
Run live technical screens (30 60 mins): code walkthroughs systems design debugging architecture review and practical problem solving.
Validate candidate claims: probe depth of hands on experience frameworks tooling and production grade patterns.
Standardize rubrics for consistency across assessors; calibrate with hiring managers; maintain fairness and bias mitigation.
Produce concise written evaluations: technical summary strengths/risks level calibration (e.g. mid vs. senior) and recommended interview focus areas.
Partner with recruiters: refine job requirements must have vs. nice to have and recommend sourcing pivots based on funnel analytics.
Continuously improve question banks and assessments based on client feedback and hiring outcomes.
Operational reporting: track pass through rates time to-screen false positives/negatives and quality of hire signals.
Tooling & compliance: manage assessment platforms and uphold data privacy & ethical hiring standards.

Ideal Background (Qualifications):

5 10 years in software development data engineering/science cloud/DevOps or technical program management; multi disciplinary experience preferred.
Hands on expertise in at least two of:
- Software Engineering: Python JS/TS Node React/Angular microservices.
- Data: SQL Python Spark ETL warehousing (Snowflake/BigQuery/Redshift) ML basics.
- Cloud/DevOps: AWS/Azure/GCP Kubernetes Terraform/ARM CI/CD observability.
- Security/IT Ops: IAM network fundamentals security controls incident response.
Experience designing and administering technical assessments and calibrating levels.
Strong communication: translating technical depth into clear non jargon summaries.
Familiarity with screening tools (e.g. CoderPad Codility HackerRank LeetCode Take home design).
Understanding of systems design scalability reliability testing and code quality.
Knowledge of inclusive assessment practices and minimizing bias.
Bachelors/Masters in CS/Engineering or equivalent experience.

Core Competencies:

Technical breadth & depth across modern stacks.
Structured interviewing & rubric-driven evaluation.
Systems thinking; practical problem-solving.
Stakeholder management (recruiters hiring managers clients).
Data-driven decision making; continuous improvement mindset.
High integrity confidentiality and candidate experience focus.

Benefits:

Health Insurance Accident Insurance.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About us:
OP is a technology consulting and solutions company offering advisory and managed services innovative platforms and staffing solutions across a wide range of fields - including AI cybersecurity enterprise architecture and beyond. Our most valuable asset is our people: dynamic creative thinkers who are passionate about doing quality work. As a member of the OP team you will have access to industry-leading consulting practices strategies & and technologies innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

What Youll Do (Responsibilities):

Own technical evaluations after recruiter screen: conduct structured assessments (live and/or take home) and produce pass/no pass recommendations.
Design role specific assessment frameworks: skills matrices scorecards question banks coding exercises and scenario simulations per job family (dev data cloud IT ops).
Run live technical screens (30 60 mins): code walkthroughs systems design debugging architecture review and practical problem solving.
Validate candidate claims: probe depth of hands on experience frameworks tooling and production grade patterns.
Standardize rubrics for consistency across assessors; calibrate with hiring managers; maintain fairness and bias mitigation.
Produce concise written evaluations: technical summary strengths/risks level calibration (e.g. mid vs. senior) and recommended interview focus areas.
Partner with recruiters: refine job requirements must have vs. nice to have and recommend sourcing pivots based on funnel analytics.
Continuously improve question banks and assessments based on client feedback and hiring outcomes.
Operational reporting: track pass through rates time to-screen false positives/negatives and quality of hire signals.
Tooling & compliance: manage assessment platforms and uphold data privacy & ethical hiring standards.

Ideal Background (Qualifications):

5 10 years in software development data engineering/science cloud/DevOps or technical program management; multi disciplinary experience preferred.
Hands on expertise in at least two of:
- Software Engineering: Python JS/TS Node React/Angular microservices.
- Data: SQL Python Spark ETL warehousing (Snowflake/BigQuery/Redshift) ML basics.
- Cloud/DevOps: AWS/Azure/GCP Kubernetes Terraform/ARM CI/CD observability.
- Security/IT Ops: IAM network fundamentals security controls incident response.
Experience designing and administering technical assessments and calibrating levels.
Strong communication: translating technical depth into clear non jargon summaries.
Familiarity with screening tools (e.g. CoderPad Codility HackerRank LeetCode Take home design).
Understanding of systems design scalability reliability testing and code quality.
Knowledge of inclusive assessment practices and minimizing bias.
Bachelors/Masters in CS/Engineering or equivalent experience.

Core Competencies:

Technical breadth & depth across modern stacks.
Structured interviewing & rubric-driven evaluation.
Systems thinking; practical problem-solving.
Stakeholder management (recruiters hiring managers clients).
Data-driven decision making; continuous improvement mindset.
High integrity confidentiality and candidate experience focus.

Benefits:

Health Insurance Accident Insurance.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.