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Cognizant is hiring for Software Engineer Role | Apply Now

Job Role :Software Engineer

Location: Hyderabad,

JOB DESCRIPTION:

  • Clearly understand role and competency proficiency expectations for self.
  • * Demostrate appreciation of diversity and inclusion in professional interactions.
  • * Highlight any observable deviations in areas of diversity and inclusion.
  • * Participate in recruitment processes under supervision.
  • * Refer new talent for hiring.
  • * Be a part of mentoring process and start mentoring members under supervision.
  • * Report any deviations from people practices that do not reflect organizational values.
  • * Conduct people management processes with fairness, transparency and diligent.

KRA-2:

Delivering superior engineering outcomes:

  • * Understand the competencyproficiency role mapping for self.
  • * Solicit performance feedback and use it to identify proficiency gaps in the remit of the role.
  • * Update the home manager of any concerns with regards to the responsibilities undertaken in an engagement.
  • * Help team members articulate project expectations, provide guidance and supervision to deliver the defined tasks.
  • * Participate actively in responding to requests for help/assistance.
  • * Proactively engage with members to understand their challenges and direct them to knowledge centers within the community.
  • * Make judicious and practical commitments while undertaking engineering responsibilities.
  • * Highlight any dependencies, risks and bottnecks which can influence your commitments.
  • * Make every effort to ensure your commitments are honoured and delivered.
  • * Proactively reach out for feedback from peers and managers.
  • * Provide reviews and feedback when requested by peers.
  • * Work out an improvement plan with the managers when applicable.
  • * Understand the metrics that are relevant for benchmarking different activities.
  • * Understand the impact of the metrics to the business outcomes of the customer.
  • * Understand how the metrics are mapped and tracked in Cognizant system.

KRA-3:

Fostering strong competency:

  • * Clearly understand enablement goals and be able to explain the same to team members.
  • * Identify the enablement needs of the team.
  • * Set up strategy and processes for driving competency gap identification and closures at a community level.
  • * Drive bestpractices for eliciting competencyproficiency gaps.
  • * Set up a plan for closing individual rolecompetency gaps and work towards the same.
  • * Facilitate participation of team members in various experience building forums.

KRA-4:

Operating efficiently:

  • * Ensure the skill profile and resume are kept current.
  • * Manage a roster of interview panelists from your team and ensure nominations are load balanced and respect individual constraints.
  • * Prepare knowledge base for providing engagement related induction to new joiners from engineering community.
  • * Extend support for helping new community members settle into their new role, including logistical help if required.
  • * Be accountable for resolving any conflicts transparently and fairly during the performance management process.
  • * Drive community specific performance management operational processes.
  • * Keep a tab on the Rewards and Recognition process, rewards granted and works with operations team for required changes.
  • * Motivate leads and Managers to reward associates in an appropriate and timely manner* Update Resume in HCM and ensure skill profile in MyCareerApp are current.
  • * Mentor your teams to keep record the skill profile promptly and bring newly acquired skills and proficiencies to the notice of their home manager.
  • * Undergoes talent profiling to benchmark the given associate within the Community.

KRA5:

Building Engineering Mindshare:

  • * Identify ideas that can be converted into reusable assets.
  • * Contribute towards creating reusable assets.
  • * Contribute to white papers under guidance.
  • * Contribute to experince papers under guidance.
  • * Contribute to case studies under guidance.

Education Required:

  • Currently pursuing a bachelor’s or master’s degree in Computer Science, AI, Data Science, or a related field.

SKILLS:

  • Strong programming skills in languages such as Java, C#, Python, or JavaScript.

  • Familiarity with low-code development platforms like OutSystems, Mendix, or Power Apps is a plus.

  • Basic understanding of AI and data science concepts, including machine learning algorithms, data preprocessing, and model evaluation.

  • Knowledge of APIs, web services, and integration techniques.

  • Excellent problem-solving and analytical abilities.

  • Strong communication and teamwork skills.

SALARY:AS PER THE COMPANY NORMS

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