TalentXO

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

Key Roles & Responsibilities: ( Key Accounts Manager )

• Business Development & Sales –Area wise
• Promoting the products through a network with Architects /Interior Designers / Consultants / Contractors / Builders & Developers.
• Address and resolve customer issues and concerns in a timely and effective manner.
• Develop strategies for customer retention and satisfaction.
• Identify and pursue new business opportunities to expand market presence.
• Accomplishment of achieved targets set by the company for overall growth.
• Managing the sales & distribution network for the assigned region
• Executing different brand promotion activities as decided by management time to time to increase the brand visibility in the region
• Submission of timely reports regarding sales for the project pipeline/Distribution network.
• Optimum utilisation of resources & cost management
• Collaborate with marketing and product development teams to align sales strategies with market trends.
• Represent the company at industry events, Exhibitions, and conferences.
• Willingness to travel if required for business expansion.

Qualifications:

• Bachelor’s degree in Business Administration, Marketing, or a related field (MBA preferred).
• Proven track record of at least 5 years in sales leadership roles, preferably within building material industry.

Perks and Benefits:

• Competitive Salary according to the industry standards
• Incentives
• Bonus
• Insurance.

Skills & Requirements:

• Fluency in Communication.
• Good at Ms Excel, Power Point, Word.
• Energetic, pleasing personality.

Role & Responsibilities

1. Design Leadership & Team Management
2. Lead and mentor the UI/UX design team, conduct design reviews, manage workloads, and maintain high design quality standards.
3. User Experience & Journey Design
4. Own end-to-end user journeys including onboarding, comparison flows, checkout/application flows, and post-conversion experiences.
5. Design System & UI Standards
6. Build and maintain scalable design systems, reusable components, interaction patterns, and accessibility standards.
7. User Research & Data-Driven Design
8. Conduct user research, usability testing, and analyze user behavior data to improve usability and conversion.
9. Cross-Functional Collaboration
10. Collaborate with Product Managers, Engineering, Analytics, and leadership teams to deliver intuitive product experiences.
11. Mobile-First & Accessibility Focus
12. Ensure responsive, mobile-first, and WCAG-compliant user experiences across all platforms.
13. Design Operations & Development Handoff
14. Manage prototyping, design documentation, and design-to-development handoff processes for smooth implementation.
15. AI-Assisted Design & Innovation
16. Utilize AI-assisted design tools and stay updated with modern UX trends and best practices.
17. Strategic Product & Team Growth
18. Support hiring, onboarding, capability building, and contribute hands-on to complex product journeys.

Ideal Candidate

• Strong Lead / Manager — Product Design (UI/UX) Profile
• Mandatory(Experience 1)- Must have 8+ years of product design experience with minimum 3 years managing a design team — direct reports, quality ownership, critique culture.
• Mandatory(Experience 2)- Must have hands on End-to-end ownership from problem definition and rapid prototyping through to final Figma handoff, across both web and mobile
• Mandatory(Skill 1)- Must have exceptional UI skills combined with deep mastery of UX psychology — with demonstrated ability to deliver world-class visual and interaction design.
• Mandatory(Skill 2)- Must have built or evolved a design system adopted in production code — token structure, engineering handoff, versioning, and cross-platform consistency. Maintaining a Figma component library alone is not sufficient.
• Mandatory (Leadership & Team Management): Must have hands-on experience leading and mentoring a design team — setting the quality bar, running structured design critiques, and managing delivery across parallel tracks. Someone who builds the team up, not just manages output.
• Mandatory (Stakeholder Mgmt)- Must be comfortable presenting to VP Product, CTO, and C-suite — able to articulate design rationale in business terms and influence product direction through user-centric logic and data.
• Mandatory (Portfolio)- Must include 2+ end-to-end transactional consumer journeys with process and outcomes; design system work with engineering context; mobile-first screens; measurable conversion or usability outcomes.
• Mandatory (Company) - B2C product companies
• Preferred(Skill 1)- Experience with AI design tools — Figma Make, generative UI, AI prototyping. Prior experience preferred; clear openness to adoption is the minimum.
• Preferred(Skill 2)- Working knowledge of HTML/CSS, responsive grids, and design token implementation. Able to design feasibly and push back credibly on engineering constraints
• Preferred (Education): A formal degree in Design — B.Des, M.Des, HCI, Interaction Design, or Visual Communication.

Role & Responsibilities

Responsibilities:

• Infrastructure at Scale
• Design and evolve our cloud-native infrastructure (AWS/Kubernetes), ensuring availability, performance, and cost efficiency across regions and products.
• Platform & Developer Experience
• Build internal tools and platforms that help engineers deploy, monitor, and scale their services independently — with minimal friction and maximum confidence.
• CI/CD & Release Automation
• Architect secure, fast, and scalable CI/CD pipelines across multiple environments using tools like GitHub Actions, and Jenkins.
• Reliability Engineering
• Champion observability, SLOs, and incident response practices. Drive a culture of proactive performance monitoring and resilient system design.
• Security & Governance
• Integrate DevSecOps practices — from policy-as-code and automated audits to secure secrets management and vulnerability scanning.
• Mentorship & Thought Leadership
• Guide and mentor DevOps and SRE engineers. Partner closely with platform developers on infrastructure strategy, deployment patterns, and production readiness.

Ideal Candidate

• Strong Principal DevOps Engineer Profile
• Mandatory (Experience 1): Must have 10+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned) in B2B SAAS companies
• Mandatory (Experience 2): Must have worked in Principal / Staff / Lead DevOps / SRE / Platform Engineer role and demonstrated org-level ownership - setting infra roadmap, defining DevOps charter, or structuring the platform function not just domain-level technical ownership
• Mandatory (Experience 3): Must show evidence of strategic authorship, defined multi-year infra/platform strategy, drove company-wide architectural shifts as an initiator (not implementer), or directly interfaced with VP Eng / CTO / product leadership on infra direction
• Mandatory (Experience 4): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
• Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
• Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
• Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
• Mandatory (Leadership): Must demonstrate leadership experience in an individual contributor capacity having mentored senior engineers, driven cross-team technical alignment, or anchored org-wide initiatives without having moved into a people management or engineering manager role
• Mandatory (Company): Strong B2B SaaS product companies only
• Preferred (Education): B.Tech in Computer Science or related fields

Role & Responsibilities

● Stakeholder leadership across functions — Drive alignment across Product, Marketing, Sales, Data

Science, CRM, and Business. Translate competing priorities into a coherent growth strategy and get

diverse stakeholders moving in the same direction — this is the most critical and most complex part of

the role.

● PM team building and mentorship — Build, mentor, and manage the revenue pod PMs. Set a high bar,

create a culture of ownership and structured experimentation, and develop the next generation of

growth PMs at PW.

● End-to-end revenue funnel — Own PW's unified growth charter, driving metrics across the full funnel:

● Acquisition: Signup success rate, CAC efficiency

● Activation: First session success, early engagement milestones

● Conversion: Free-to-paid conversion, checkout completion, funnel drop-offs

● Monetisation: ARPU, renewal rates, LTV/CAC ratio

● Upsell and cross-sell — Build upsell and cross-sell frameworks that surface the right offer to the right

learner at the right moment — maximising lifetime value across PW's learning categories.

● Conversion optimisation and experimentation — Architect A/B and multivariate testing pipelines, pricing

experiments, and personalisation engines to drive continuous funnel uplift.

● Unified revenue charter — Bring SalesTech,

Ideal Candidate

• Strong Growth Product Leader / Growth PM / Monetisation Product Leader profile
• Mandatory (Experience 1) – Must have 11+ years of Product Management experience, with strong exposure to Growth, Revenue, Monetisation, Conversion or Consumer Growth charters
• Mandatory (Experience 2) – Must have led end-to-end growth funnels including lead generation → activation → free-to-paid conversion → checkout → upsell/cross-sell → renewal → customer lifetime value (LTV).
• Mandatory (Experience 3) – Strong hands-on experience in Conversion Rate Optimisation (CRO), A/B testing, funnel analytics, cohort analysis, experimentation frameworks and growth metrics ownership.
• Mandatory (Experience 4) – Must have experience building and scaling monetisation engines such as checkout optimisation, cart enhancement, subscription journeys, pricing strategy, cross-sell/upsell mechanisms and revenue-led product initiatives.
• Mandatory (Experience 5) – Strong experience owning growth KPIs like Signup Success Rate, Conversion %, ARPU, CAC, LTV, Renewal Rate and Funnel Drop-offs.
• Mandatory (Experience 6) – Must have led and mentored Product Managers / Growth Pods / Cross-functional Product teams and should have experience managing senior stakeholders.
• Mandatory (Experience 7) – Must have worked on high-scale B2C products/platforms (1M+ MAU preferred) with significant traffic and customer journeys
• Mandatory (Company) – Candidates from top consumer internet / B2C / EdTech / FinTech / E-commerce / Subscription businesses / high-scale digital platforms
• Preferred (Experience 1) – Experience with loyalty programs, retention loops, customer engagement journeys or repeat purchase frameworks will be highly preferred

Role & Responsibilities

We are looking for a dynamic, tech-savvy Technical Account Manager who is passionate about emerging technology and dedicated to delivering exceptional customer experiences. As a key member of our global supply team, you will be pivotal in engaging with both prospective and existing clients, particularly with top endemic publisher accounts in the AdTech/Pharma Tech sectors, support the onboarding process, helping customers gain maximum value from our solutions.

• Account management: build and maintain strong, strategic relationships with clients, acting as a trusted technical advisor throughout the onboarding and post-implementation phases
• Onboarding & implementation: support technical onboarding for new clients, managing integrations and ensuring clients are set up for success from day one
• Ongoing client support: act as the primary technical contact for key accounts, troubleshooting issues, and proactively identifying opportunities to drive client satisfaction and retention
• Conduct live demos: present our solutions to prospective clients, emphasizing unique benefits and features, and tailor demos for varying audience levels, with a focus on endemic and top publisher accounts
• Cross-functional collaboration: identify client needs and customise demo experiences for prospective and new clients, ensuring alignment with their goals, particularly with top publisher accounts
• Feedback & reporting: gather insights from client interactions to inform product development. Regularly report on account health, demo success, and product feedback, helping share future enhancement

Ideal Candidate

• Strong Technical Account Manager (Publisher Side) Profile
• Mandatory (Experience 1) – Must have minimum 6+ years of total experience, including 5+ years as a Technical Account Manager in AdTech, Programmatic Advertising, or Digital Media
• Mandatory (Experience 2) – Must have hands-on experience managing end to end top publisher accounts or supply-side relationships; technical onboarding, integrations, troubleshooting, and providing technical assistance to publishers
• Mandatory (Experience 3) – Strong working knowledge of SSPs, programmatic ecosystem, ad-serving workflows, and ability to explain technical concepts clearly to non-technical stakeholders
• Mandatory (Experience 4) – Demonstrated experience conducting live product demos, explaining features/benefits, and tailoring demos for publisher / stakeholders
• Mandatory (Experience 5) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
• Mandatory (Experience 6) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
• Mandatory (Company) – Must come from an AdTech, Programmatic, SSP, Publisher-side, or Digital Media Tech organisation dealing with supply partnerships / publisher ops
• Preferred (Experience) – Must have strong real-time problem solving skills with ability to independently troubleshoot technical issues during onboarding and ongoing publisher support

Role & Responsibilities

This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

Objectives of role:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems
• Own production rollouts of consumer and internally facing GenAI applications
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
• Required /Proven experience with the following:
• Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine- tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience in building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark? to process large-scale distributed datasets
• We require fluency in English and willingness to work across time zones.

Ideal Candidate

• Strong AI/ML Engineer Profile
• Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment
• Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning
• Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts
• Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch
• Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP
• Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders
• Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month
• Mandatory (Note 2) : CTC is inclusive of 10% variable
• Mandatory (Note 3): Candidates should be available to join within May 31st or June first week max
• Preferred (Education): Must hold a graduate degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline or equivalent practical experience
• Preferred (Tools): Hands-on experience with the Databricks and Apache Spark
• Preferred (Pharma/Life Sciences Domain): Good understanding of Pharma Quality Standards and Practices or prior experience in pharmaceutical or life sciences contexts is a meaningful plus.

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

DBS Mintek Pvt Ltd is looking for an experienced and detail-oriented Accounts Manager to oversee end-to-end accounting operations, ensure statutory compliance, and manage financial reporting for our Pune office. The ideal candidate should possess strong hands-on expertise in accounting, taxation, audits, and financial finalization processes.

Key Responsibilities

• Independently manage day-to-day accounting operations.
• Maintain accurate books of accounts using Tally.
• Handle bookkeeping, journal entries, and ledger scrutiny.
• Prepare and finalize Trial Balance, Profit & Loss Account, and Balance Sheet.
• Manage month-end, quarter-end, and year-end closing activities.
• Ensure timely GST filings, reconciliations, and handling of notices.
• Manage TDS deductions, payments, return filings, and reconciliations.
• Oversee direct and indirect tax compliance and return filings.
• Handle PF compliance and other statutory filings.
• Coordinate and manage internal and statutory audits, including audit finalization.
• Prepare MIS reports and financial analysis using Advanced Excel.
• Ensure adherence to accounting standards, statutory regulations, and company policies.
• Liaise with auditors, tax consultants, banks, and internal stakeholders.

Required Skills & Expertise

• Strong hands-on experience in Tally and accounting software.
• Thorough knowledge of bookkeeping, journal entries, and audit finalization.
• Expertise in GST, TDS, tax returns, and statutory compliance.
• Proficiency in preparing P&L, Balance Sheet, and Trial Balance.
• Experience in managing year-end closing processes.
• Advanced Excel skills (Pivot Tables, VLOOKUP/XLOOKUP, complex formulas).
• Strong understanding of Indian taxation laws and accounting standards.
• Excellent analytical, coordination, and communication skills.

Qualifications & Experience

• Bachelor’s or Master’s degree in Commerce / Accounting / Finance.
• CA Inter / CMA Inter or relevant certification preferred.
• 4–8 years of relevant experience, preferably handling accounts independently.

Preferred Attributes

• High level of accuracy and attention to detail.
• Ability to work independently and meet strict deadlines.
• Leadership capability to guide junior accounts staff.
• Strong compliance-driven and ethical approach.

Role & Responsibilities

• You take end-to-end ownership of infrastructure, design, scale, and operate it. This goes beyond execution. Here's what that looks like day to day:
• Own the design, architecture, and reliability of Locus's cloud infrastructure across AWS, Azure, GCP, and Aliyun, supporting multi-region, global deployments.
• Lead the evolution of our CI/CD ecosystem, optimize and refactor our Jenkins-as-Code setup for scalability, performance, and developer efficiency.
• Drive the Infrastructure as Code (IaC) journey end-to-end, migrate existing cloud resources, alarms, and configurations fully into code with strong versioning, review, and rollback practices.
• Partner with engineering teams to identify and resolve performance, scalability, and reliability bottlenecks, deep dives into memory, CPU, networking, and storage constraints.
• Define and implement monitoring, alerting, and incident response best practices, improve MTTR, system observability, and operational readiness.
• Lead initiatives around cost optimization, security hardening, and capacity planning, keep infrastructure efficient and compliant as the platform scales.
• Act as a technical mentor for junior DevOps engineers and raise the overall DevOps maturity across teams.

Ideal Candidate

• Strong Senior DevOps Engineer Profile
• Mandatory (Experience 1): Must have 5+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned)
• Mandatory (Experience 2): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
• Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
• Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
• Mandatory (Tech Skills 3 - CI/CD & Release): Scalable CI/CD pipelines (GitHub Actions / Jenkins), Zero/low downtime deployments
• Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
• Mandatory (Education): BTech in Computer Science or related fields
• Mandatory (Company): Strong B2B SaaS product companies only (good scaled)