768 Finops Engineer jobs in India

Job Title: SSE

Primary Skill: AWS FinOps

Location: Hyderabad

Mode of Work: Work From Office

Experience: 5+ years

About the Job :

As an AWS FinOps Engineer, you will play a pivotal role in optimizing our cloud costs and ensuring effective financial operations within our AWS environment. This hands-on technical role is dedicated to managing, monitoring, and optimizing our AWS infrastructure, utilizing Python coding, DevOps skills, and collaboration with FinOps consultants to gather and configure FinOps reports from various sources.

Know your team:

At ValueMomentum’s Engineering Center , we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You’ll have the opportunity to showcase your talents by contributing to impactful projects.

Responsibilities:

Following are the day-to-day work activities:

Requirements:

Good to Have: 

About Deutsche Börse Group:

Headquartered in Frankfurt, Germany, we are a leading international exchange organization and market infrastructure provider. We empower investors, financial institutions, and companies by facilitating access to global capital markets. Our business areas cover the entire financial market transaction process chain, including trading, clearing, settlement and custody, digital assets and crypto, market analytics, and advanced electronic systems. As a technology-driven company, we develop and operate cutting-edge IT solutions globally.

FinOps Cloud Optimization Engineer

Role Overview:

As a Cloud Optimization Engineer, you will be at the center of technical cost efficiency efforts across our multi-cloud environment (AWS, Azure, GCP). Your mission is to reduce waste, improve cloud utilization, and embed automation into the cloud lifecycle. You’ll collaborate with Business IT teams and central infrastructure teams to steer and implement recommendations and continuously improve our cloud efficiency posture.

This is a high-impact technical role in a complex environment, where cost optimization needs to be pragmatic, stakeholder-aligned, and automation-driven.

Key Responsibilities:

Cloud Cost Optimization & Governance:

• Act as technical counterpart for cloud stakeholders in business IT.

Reporting & Accountability:

• Track the financial impact of optimization initiatives (quantified € savings).
• Support FinOps reporting with technical root cause analysis for cost anomalies.
• Provide input to forecast accuracy and budget alignment through technical insights.
• Analyze cost and usage data across platforms across IaaS, PaaS and SaaS using Cloudability, AWS Trusted Advisor, Azure Advisor, and GCP Recommender.
• Identify and drive execution of optimization actions such as:
• Rightsizing compute and storage resources
• Instance scheduling and shutdown policies
• Tiered storage strategies
• Commitment usage (e.g., Savings Plans)

Automation and Tooling

Develop or integrate automation scripts and pipelines for:

• Anomaly detection alerting
• Scheduled resource optimization (e.g., Lambda for auto-stop/start)
• Cost reporting and budget guardrails
• Implement automation for anomaly detection and policy enforcement
• Contribute to PoC and rollout of tools like Turbonomic or other optimization platforms.
• Contribute to continuous improvement initiatives and automation of cloud cost processes.

Collaboration with Technical Teams:

• Review their cloud setup and usage
• Co-design sustainable and cost-aware architecture choices
• Support tagging standardization and enforcement, enabling better cost attribution and insights.

Key Qualifications & Experience:

• 3–5 years in Cloud Engineering, FinOps - DevOps roles.
• Strong practical knowledge of AWS, Azure, and/or GCP services.

Hands-on experience with:

• Cloud-native optimization tools (Trusted Advisor, Azure Advisor, Turbonomic etc.)
• Automation scripting (Python, Bash, PowerShell)
• Solid understanding of cloud billing models and pricing mechanics.
• Experience with Cloudability (Apptio) or equivalent cost management tools.
• Comfortable engaging in technical conversations with architects, but also in reporting savings impact to non-technical stakeholders.
• FinOps Foundation Certification (Practitioner or Advanced) a nice to have
• Knowledge of security & compliance constraints around cloud optimization in regulated industries (e.g., financial services).

Key Success Metrics:

• Savings from implemented optimization actions (tracked monthly)
• % of actionable recommendations implemented across business lines
• Automation coverage (e.g., % of anomalies flagged automatically)
• Optimization engagement rate with Business IT teams

About Deutsche Börse Group:

Headquartered in Frankfurt, Germany, we are a leading international exchange organization and market infrastructure provider. We empower investors, financial institutions, and companies by facilitating access to global capital markets. Our business areas cover the entire financial market transaction process chain, including trading, clearing, settlement and custody, digital assets and crypto, market analytics, and advanced electronic systems. As a technology-driven company, we develop and operate cutting-edge IT solutions globally.

FinOps Cloud Optimization Engineer

Role Overview:

As a Cloud Optimization Engineer, you will be at the center of technical cost efficiency efforts across our multi-cloud environment (AWS, Azure, GCP). Your mission is to reduce waste, improve cloud utilization, and embed automation into the cloud lifecycle. You’ll collaborate with Business IT teams and central infrastructure teams to steer and implement recommendations and continuously improve our cloud efficiency posture.

This is a high-impact technical role in a complex environment, where cost optimization needs to be pragmatic, stakeholder-aligned, and automation-driven.

Key Responsibilities:

Cloud Cost Optimization & Governance:

• Act as technical counterpart for cloud stakeholders in business IT.

Reporting & Accountability:

• Track the financial impact of optimization initiatives (quantified € savings).
• Support FinOps reporting with technical root cause analysis for cost anomalies.
• Provide input to forecast accuracy and budget alignment through technical insights.
• Analyze cost and usage data across platforms across IaaS, PaaS and SaaS using Cloudability, AWS Trusted Advisor, Azure Advisor, and GCP Recommender.
• Identify and drive execution of optimization actions such as:
• Rightsizing compute and storage resources
• Instance scheduling and shutdown policies
• Tiered storage strategies
• Commitment usage (e.g., Savings Plans)

Automation and Tooling

Develop or integrate automation scripts and pipelines for:

• Anomaly detection alerting
• Scheduled resource optimization (e.g., Lambda for auto-stop/start)
• Cost reporting and budget guardrails
• Implement automation for anomaly detection and policy enforcement
• Contribute to PoC and rollout of tools like Turbonomic or other optimization platforms.
• Contribute to continuous improvement initiatives and automation of cloud cost processes.

Collaboration with Technical Teams:

• Review their cloud setup and usage
• Co-design sustainable and cost-aware architecture choices
• Support tagging standardization and enforcement, enabling better cost attribution and insights.

Key Qualifications & Experience:

• 3–5 years in Cloud Engineering, FinOps - DevOps roles.
• Strong practical knowledge of AWS, Azure, and/or GCP services.

Hands-on experience with:

• Cloud-native optimization tools (Trusted Advisor, Azure Advisor, Turbonomic etc.)
• Automation scripting (Python, Bash, PowerShell)
• Solid understanding of cloud billing models and pricing mechanics.
• Experience with Cloudability (Apptio) or equivalent cost management tools.
• Comfortable engaging in technical conversations with architects, but also in reporting savings impact to non-technical stakeholders.
• FinOps Foundation Certification (Practitioner or Advanced) a nice to have
• Knowledge of security & compliance constraints around cloud optimization in regulated industries (e.g., financial services).

Key Success Metrics:

• Savings from implemented optimization actions (tracked monthly)
• % of actionable recommendations implemented across business lines
• Automation coverage (e.g., % of anomalies flagged automatically)
• Optimization engagement rate with Business IT teams

About Deutsche Börse Group:

Headquartered in Frankfurt, Germany, we are a leading international exchange organization and market infrastructure provider. We empower investors, financial institutions, and companies by facilitating access to global capital markets. Our business areas cover the entire financial market transaction process chain, including trading, clearing, settlement and custody, digital assets and crypto, market analytics, and advanced electronic systems. As a technology-driven company, we develop and operate cutting-edge IT solutions globally.

FinOps Cloud Optimization Engineer

Role Overview:

As a Cloud Optimization Engineer, you will be at the center of technical cost efficiency efforts across our multi-cloud environment (AWS, Azure, GCP). Your mission is to reduce waste, improve cloud utilization, and embed automation into the cloud lifecycle. You’ll collaborate with Business IT teams and central infrastructure teams to steer and implement recommendations and continuously improve our cloud efficiency posture.

This is a high-impact technical role in a complex environment, where cost optimization needs to be pragmatic, stakeholder-aligned, and automation-driven.

Key Responsibilities:

Cloud Cost Optimization & Governance:

• Act as technical counterpart for cloud stakeholders in business IT.

Reporting & Accountability:

• Track the financial impact of optimization initiatives (quantified € savings).
• Support FinOps reporting with technical root cause analysis for cost anomalies.
• Provide input to forecast accuracy and budget alignment through technical insights.
• Analyze cost and usage data across platforms across IaaS, PaaS and SaaS using Cloudability, AWS Trusted Advisor, Azure Advisor, and GCP Recommender.
• Identify and drive execution of optimization actions such as:
• Rightsizing compute and storage resources
• Instance scheduling and shutdown policies
• Tiered storage strategies
• Commitment usage (e.g., Savings Plans)

Automation and Tooling

Develop or integrate automation scripts and pipelines for:

• Anomaly detection alerting
• Scheduled resource optimization (e.g., Lambda for auto-stop/start)
• Cost reporting and budget guardrails
• Implement automation for anomaly detection and policy enforcement
• Contribute to PoC and rollout of tools like Turbonomic or other optimization platforms.
• Contribute to continuous improvement initiatives and automation of cloud cost processes.

Collaboration with Technical Teams:

• Review their cloud setup and usage
• Co-design sustainable and cost-aware architecture choices
• Support tagging standardization and enforcement, enabling better cost attribution and insights.

Key Qualifications & Experience:

• 3–5 years in Cloud Engineering, FinOps - DevOps roles.
• Strong practical knowledge of AWS, Azure, and/or GCP services.

Hands-on experience with:

• Cloud-native optimization tools (Trusted Advisor, Azure Advisor, Turbonomic etc.)
• Automation scripting (Python, Bash, PowerShell)
• Solid understanding of cloud billing models and pricing mechanics.
• Experience with Cloudability (Apptio) or equivalent cost management tools.
• Comfortable engaging in technical conversations with architects, but also in reporting savings impact to non-technical stakeholders.
• FinOps Foundation Certification (Practitioner or Advanced) a nice to have
• Knowledge of security & compliance constraints around cloud optimization in regulated industries (e.g., financial services).

Key Success Metrics:

• Savings from implemented optimization actions (tracked monthly)
• % of actionable recommendations implemented across business lines
• Automation coverage (e.g., % of anomalies flagged automatically)
• Optimization engagement rate with Business IT teams

About Deutsche Börse Group:

Headquartered in Frankfurt, Germany, we are a leading international exchange organization and market infrastructure provider. We empower investors, financial institutions, and companies by facilitating access to global capital markets. Our business areas cover the entire financial market transaction process chain, including trading, clearing, settlement and custody, digital assets and crypto, market analytics, and advanced electronic systems. As a technology-driven company, we develop and operate cutting-edge IT solutions globally.

FinOps Cloud Optimization Engineer

Role Overview:

As a Cloud Optimization Engineer, you will be at the center of technical cost efficiency efforts across our multi-cloud environment (AWS, Azure, GCP). Your mission is to reduce waste, improve cloud utilization, and embed automation into the cloud lifecycle. You’ll collaborate with Business IT teams and central infrastructure teams to steer and implement recommendations and continuously improve our cloud efficiency posture.

This is a high-impact technical role in a complex environment, where cost optimization needs to be pragmatic, stakeholder-aligned, and automation-driven.

Key Responsibilities:

Cloud Cost Optimization & Governance:

• Act as technical counterpart for cloud stakeholders in business IT.

Reporting & Accountability:

• Track the financial impact of optimization initiatives (quantified € savings).
• Support FinOps reporting with technical root cause analysis for cost anomalies.
• Provide input to forecast accuracy and budget alignment through technical insights.
• Analyze cost and usage data across platforms across IaaS, PaaS and SaaS using Cloudability, AWS Trusted Advisor, Azure Advisor, and GCP Recommender.
• Identify and drive execution of optimization actions such as:
• Rightsizing compute and storage resources
• Instance scheduling and shutdown policies
• Tiered storage strategies
• Commitment usage (e.g., Savings Plans)

Automation and Tooling

Develop or integrate automation scripts and pipelines for:

• Anomaly detection alerting
• Scheduled resource optimization (e.g., Lambda for auto-stop/start)
• Cost reporting and budget guardrails
• Implement automation for anomaly detection and policy enforcement
• Contribute to PoC and rollout of tools like Turbonomic or other optimization platforms.
• Contribute to continuous improvement initiatives and automation of cloud cost processes.

Collaboration with Technical Teams:

• Review their cloud setup and usage
• Co-design sustainable and cost-aware architecture choices
• Support tagging standardization and enforcement, enabling better cost attribution and insights.

Key Qualifications & Experience:

• 3–5 years in Cloud Engineering, FinOps - DevOps roles.
• Strong practical knowledge of AWS, Azure, and/or GCP services.

Hands-on experience with:

• Cloud-native optimization tools (Trusted Advisor, Azure Advisor, Turbonomic etc.)
• Automation scripting (Python, Bash, PowerShell)
• Solid understanding of cloud billing models and pricing mechanics.
• Experience with Cloudability (Apptio) or equivalent cost management tools.
• Comfortable engaging in technical conversations with architects, but also in reporting savings impact to non-technical stakeholders.
• FinOps Foundation Certification (Practitioner or Advanced) a nice to have
• Knowledge of security & compliance constraints around cloud optimization in regulated industries (e.g., financial services).

Key Success Metrics:

• Savings from implemented optimization actions (tracked monthly)
• % of actionable recommendations implemented across business lines
• Automation coverage (e.g., % of anomalies flagged automatically)
• Optimization engagement rate with Business IT teams

Description

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

Your key responsibilities

Your skills and experience

How we’ll support you

Description

The DB Cloud FinOps function drives financial accountability of cloud consumption, providing distributed teams with insights into their consumption, spend and optimisation / control options to ensure cloud usage is managed efficiently.

We are seeking an individual with a strong background in GCP services, FinOps and IT Application management. The applicant will be the IT Owner of the FinOps Application platform on our Google Cloud Platform (GCP) environment. The FinOps Application consists of our GCP landing zone (GCP projects, resources datasets) and our FinOps Looker instance. This together with our team’s skillset is the strategic cloud cost management function for the bank. The role covers E2E platform management, which includes creation and maintenance of BigQuery datasets and views, administration of billing exports, deployment of Cloudfunctions, API integrations and compliance adherence.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

Your key responsibilities

Your skills and experience

How we’ll support you

Position: Financial Operations Associate (SME – BFSI Operations)

Location: India (Remote)

Employment Type: Full-Time

Schedule: Monday to Friday, Day Shift

Experience: 3+ Years in Financial Operations, BFSI Sector Preferred

Company Description

Scry AI is a trusted provider of AI-powered enterprise automation platforms purpose-built for Banking, Financial Services, and Insurance (BFSI) clients. Our solutions streamline core operational processes like payables, receivables, reconciliations, and ledger management by using advanced machine learning, document intelligence, and intelligent automation.

We are seeking a Financial Operations Associate to join us as a Subject Matter Expert (SME). This role will contribute operational insights that guide the development and optimization of AI products that automate and scale enterprise financial workflows.

Role Overview

As a Financial Operations Associate (SME – BFSI Operations) at Scry AI, you will play a key role in shaping product features that address real-world challenges in finance back-office functions. You’ll collaborate closely with product, engineering, and client teams to align our AI solutions with the operational needs of financial institutions.

Key Responsibilities

1. Domain Expertise & Workflow Mapping

• Leverage knowledge of core finance operations—payables, receivables, reconciliations, journal entries, and closing processes.
• Define workflows, validation rules, exception cases, and compliance checks for automation modules.
• Contribute templates and configuration logic for automating routine transaction and ledger operations.

2. Product Development & QA

• Partner with product managers to co-design AI-powered workflows for financial data ingestion, standardization, and reporting.
• Provide business logic for intelligent field mapping, flagging anomalies, and reconciling mismatches.
• Test and validate system outputs against real-world use cases and accounting best practices.

3. Client Collaboration & Support

• Participate in discovery sessions and walkthroughs with BFSI clients to document operational challenges.
• Support user acceptance testing (UAT), PoCs, and ROI analyses for automation projects.
• Serve as the voice of operations during customer feedback loops and feature enhancements.

4. Compliance & Best Practices

• Ensure alignment with accounting principles (IFRS, GAAP), audit readiness, and internal control standards.
• Track industry trends in digital finance transformation and operations optimization.
• Contribute to training materials, SOPs, and educational content around AI in financial ops.

Required Qualifications & Skills

• 3+ years of experience in financial operations, accounting support, or enterprise finance in the BFSI sector.
• Hands-on experience with AP/AR, general ledger, bank reconciliation, or month-end close processes.
• Proficiency with financial systems like SAP, Oracle, NetSuite, or Tally.
• Familiarity with document automation, OCR, or AI-based data extraction tools is preferred.
• Strong attention to detail and structured problem-solving approach.
• Excellent communication skills to collaborate across product, technical, and client-facing teams.

Our Ideal Candidate

• Understands the day-to-day challenges of financial operations teams.
• Has a strong grasp of how financial data flows across departments and systems.
• Is excited to use AI to reduce manual tasks, errors, and reconciliation time.
• Thrives in a collaborative, fast-paced environment where technology meets finance.
• Takes initiative in defining new ways to improve efficiency, accuracy, and compliance.