MongoDB, as a database software and consistently voted the #1 most wanted database preferred by developers, is continuing to attract the most demanding, innovative companies and development teams in enterprise software.

To meet this demand, we are looking for passionate DevOps professionals to join our growing Industry Solutions Team (IST), a remote/flexible, globally-dispersed team. As part of our strategic investment in demo infrastructure capabilities, this role is critical to maintaining, scaling, and optimizing our demo portfolio, enabling our Industry Solutions Consultants to focus on customer engagement, content creation, and industry expertise while ensuring world-class infrastructure reliability and security. Our objective is to align MongoDB as an industry solution and ensure we understand enterprise clients and their needs to modernize software legacies, transition to modernized solutions, and guide them through continuous data-driven modernization across various industries.

MongoDB Industry Solutions Consultants communicate the direction of MongoDB's platform to customers and industry partner communities through webinars, client presentations, blog content, video content, live/virtual events, and demos. Your role will directly enable these activities by ensuring robust, reliable infrastructure that supports seamless demonstrations and proof-of-concepts across various industry verticals, helping to showcase MongoDB's capabilities to enterprise clients worldwide.

You'll work with cutting-edge technologies including Kubernetes, multi-cloud environments (AWS/GCP), and MongoDB's complete product suite, while building the infrastructure foundation that powers MongoDB's industry solution demonstrations globally. You'll collaborate closely with the global IST technical team and product teams, playing a key role in supporting deals and driving the business forward through reliable technical infrastructure.

What You Will Do at MongoDB

Infrastructure Management & Optimization

• Design and implement infrastructure-as-code templates for consistent demo deployments across 65+ demonstrations
• Optimize and maintain our KANOPY Kubernetes platform with production-grade configurations
• Manage MongoDB clusters with automated scaling, standardized security configurations, and centralized monitoring
• Maintain mixed AWS/GCP deployment environments with focus on performance and cost optimization

Security & Compliance

• Implement comprehensive security scanning and automated vulnerability remediation
• Maintain Wiz vulnerability management and security compliance across all demo environments
• Establish and enforce enterprise-grade security standards and practices
• Monitor and respond to security incidents with systematic surveillance and optimization

Automation & DevOps Excellence

• Build and maintain CI/CD automation pipelines for seamless demo deployments
• Implement autonomous end-to-end testing frameworks across the entire demo portfolio
• Deploy centralized monitoring, logging, and alerting systems for proactive issue resolution
• Create self-service developer tools to enable rapid demo development and deployment

Operational Support

• Provide dedicated incident response and system monitoring to prevent disruptions to Industry Solutions Demos
• Establish unified data model frameworks for consistent demo experiences
• Support 20-25 new demo builds annually, including complex microservices architectures
• Collaborate with wider technical team on infrastructure requirements and optimization opportunities

As an Ideal Candidate, You Will Have

Required Experience

• 5+ years of DevOps/Infrastructure engineering experience in enterprise environments
• Strong expertise in Kubernetes orchestration and container management
• Hands-on experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or similar)
• Proficiency in CI/CD pipeline design and implementation (Jenkins, GitLab CI, GitHub Actions, etc.)
• Experience with multi-cloud environments (AWS, Azure, GCP) and cloud-native architectures
• Strong background in monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)

Technical Skills

• Database administration experience, preferably with MongoDB or other NoSQL databases
• Security scanning and vulnerability management experience
• Scripting and automation skills (Python, Bash, Go, or similar)
• Experience with microservices architecture and service mesh technologies
• Understanding of networking, security principles, and compliance frameworks

Soft Skills

• Excellent problem-solving and troubleshooting abilities
• Strong communication skills for cross-team collaboration
• Self-motivated with ability to work independently in a remote-first environment
• Passion for learning new technologies and staying current with DevOps trends
• Experience mentoring junior team members and sharing best practices

As an Ideal Candidate, You May Also Have

• Master's degree in Computer Science, Engineering, or equivalent work experience
• MongoDB certification or experience with MongoDB Atlas
• Experience in SaaS or enterprise software environments
• Experience with service mesh technologies (Istio, Linkerd)
• Knowledge of data pipeline and ETL processes

What You Will Learn

Technical Growth

• Deep expertise in MongoDB's complete product suite and ecosystem
• Advanced Kubernetes and cloud-native architecture patterns
• Enterprise-scale infrastructure design and security best practices
• Modern DevOps methodologies and automation frameworks

Business Context

• How infrastructure enables customer success and business growth
• Industry-specific use cases and solution architectures across various verticals

Location & Work Arrangement

This role is based in India with flexible remote work options. The Industry SolutionsTeam operates globally with collaboration across time zones. Occasional travel may be required for team events, training, or MongoDB conferences.

Why Join Our Team

• Impact: Build the infrastructure foundation that powers MongoDB's industry solution strategy
• Growth: Join a global team with significant investment and leadership support
• Innovation: Work with cutting-edge technologies in a fast-paced, evolving environment
• Culture: Be part of MongoDB's collaborative, inclusive, and learning-focused culture

This role is part of MongoDB's strategic investment in demo infrastructure capabilities, offering the opportunity to build something new while working with industry-leading technologies and a world-class team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273401871

Job Title: Full stack developer - Bangalore and Gurgaon

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore, Pune, Gurugram

Experience - 5 to 8 Years

Skills and Qualifications:

About the Job: Mobile Application & Web Developer Detail-oriented and innovative Mobile Application & Light Web Developer with extensive experience building, optimizing, and supporting cross-platform native and hybrid apps and light web solutions. Proven ability to leverage modern frameworks for intuitive user experiences, integrate with critical APIs and backend services, and collaborate within agile teams. Passionate about delivering secure, customer-focused mobile and web experiences. Skills & Technologies

• Mobile: React, Angular, Ionic, Capacitor, Cordova, Typescript/JavaScript • (Swift (iOS), Kotlin (Android)) • Web: React, Angular, TypeScript, JavaScript (ES6+), Material UI, Redux • Testing & CI/CD: Jest, Jasmine, Karma, CodeMagic, AppFlow, GitLab Pipeline • Cloud & APIs: Firebase, AWS, RESTful APIs, GraphQL, MongoDB, SQL, Redis • Other: CSS3, SASS, HTML5, PWA, Offline-first/Local Storage, UI/UX Design • Workflow: Agile/Scrum, Remote collaboration, Unit testing, Code reviews

Technical Proficiencies Category || Technologies / Tools Mobile Dev || React, Ionic, Capacitor, Cordova, Swift, Kotlin Web Dev || React, Angular, TypeScript, UI Libraries (Material, Tailwind) APIs/Cloud || RESTful APIs, GraphQL, Firebase, AWS Testing/CI || Jest, Jasmine, GitHub Actions

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Tesco Retail Media team is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.

We are seeking a Lead Front-End Engineer to drive excellence in front-end development and user experience for our high-scale SaaS platform. This role will be instrumental in shaping the front-end architecture, defining best practices ensuring high performance, security, and accessibility standards, and mentoring engineers.

You will collaborate closely with backend engineers, product teams, UX designers, and platform engineers to ensure our applications are scalable, resilient, and user-friendly. You will also work with New Relic and Google Lighthouse to monitor front-end performance and observability.

Key Responsibilities

• Technical Leadership: Define and establish front-end engineering best practices, including architecture, performance optimization, and maintainability.
• Front-End Architecture: Design and implement scalable, modular component architectures using ReactJS and optimize UI performance using tools like Google Lighthouse.
• Collaboration with Backend & BFF Teams: Work with backend teams to design API interactions that balance efficiency and security, without overloading the front-end.
• Mentorship & Upskilling: Guide and mentor engineers, establishing a strong front-end culture.
• CI/CD & Deployment: Improve front-end build pipelines, automated deployments, and observability using GitLab and Octopus Deploy.
• User Experience & Accessibility: Ensure the UI is fast, accessible, and intuitive, aligning with UX design best practices.

Required Skills & Experience

• 8+ years of front-end development experience with ReactJS, TypeScript, and JavaScript (ES6+), Design patterns and modern UI frameworks.

• Experience with Micro Frontends architecture and component libraries (e.g., Storybook, Material UI).
• Deep understanding of front-end performance optimization, Core Web Vitals, accessibility (WCAG), Webpack Bundle Analyzer, and React Profiler.
• In-depth knowledge of Webpack, Babel, ESLint, Prettier, and other modern build tools and task runners for optimizing development workflows.
• Experience integrating front-end applications with RESTful APIs and GraphQL.
• Strong knowledge of component-based architectures, and UI state management (Redux, React Query, etc.).
• Hands on automated testing (Jest, Cypress, React Testing Library).
• Experience with styled components and Emotion in ReactJS for modular and scoped CSS-in-JS, enabling efficient and dynamic styling
• Proficiency with Webpack's advanced features like tree-shaking, lazy loading, code-splitting, and bundle optimization.
• Strong collaboration skills to work effectively with cross-functional teams, including back-end engineers, UX designers, and product managers. (must for lead role)

Good to have:

• Experience working in cloud-based SaaS environments, with GCP preferred

• Experience with CI/CD pipelines and deployment automation (GitLab, Octopus Deploy)

• Test-Driven Development (TDD) approach to ensure code reliability and quality in complex projects.

Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes.

Role overview

 As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production.

Key responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code.
• Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring.
• Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake.
• Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services.
• Automate environment provisioning, configuration, and dependency management across dev, test, and production.
• Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA).
• Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services.
• Contribute to best practices, standards, and documentation for ML platform and operations across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
• Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
• Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
• Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
• Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
• Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
• Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
• Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).

Soft skills and benefits

• Excellent problem-solving and analytical skills with a focus on reliability and automation.
• Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams.
• Ability to work independently in a fast-paced environment
• Competitive salary and benefits package.
• Opportunity to work on impactful ML platforms that improve healthcare outcomes.
• Collaborative, innovative environment with professional development and growth opportunities.

Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.

We are seeking a talented Lead Engineer with .NET expertise to lead development of a product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.

As a Lead Engineer, you will play a pivotal role in designing and delivering high-quality software solutions.

You will be responsible for contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.

What will you be doing?

You will design and deliver .NET Core solutions within microservices architecture, ensuring adherence to compliance, security, and quality standards. Implement best practices in coding, CI/CD, and DevOps while balancing delivery timelines with technical excellence. Conduct regular performance reviews, provide actionable feedback, and drive innovation through continuous improvement and process enhancements. Focus on improving developer productivity and coaching junior team members to achieve their full potential. You will collaborate with product managers and architects to define technical roadmaps.

What would you need to be successful in the role?

• Experience 9+years
• Proven experience leading technical teams and delivering complex projects.
• Strong understanding of object-oriented programming, data structures, and algorithms.
• Possess strong technical expertise in C#, .NET Core and experience building RESTful APIs with a deep understanding of design patterns, SOLID principles, system design, and engineering best practices.
• Strong experience designing distributed systems using microservices and event-driven architecture
• Familiar with microservices and event-driven architecture using tools like RabbitMQ , Google Pub/Sub and Kafka, as well as containerization technologies such as Docker and Kubernetes.
• Hands-on experience with:
  
  • Docker and Kubernetes (K8s)
  • Cloud platforms (GCP / Azure / AWS)
  • Relational databases (Postgres preferred) and analytical databases (BigQuery preferred)
  • Testing Framework (Xunit / NUnit/ Cypress)
  .

• Experienced in using DevOps tools like GitLab CI/CD and leveraging cloud platforms, particularly GCP or Azure, for scalable solutions.
• Additional knowledge of Redis, and Elasticsearch is an advantage
• Demonstrate a deep understanding of distributed systems, cloud-native applications, and Unix/Linux environments, alongside expertise in testing strategies, code quality, and secure coding tools like SonarQube and Checkmarx.
• Proficiency with version control systems like Git
• Adept at utilizing observability tools like New Relic to monitor systems, with solid knowledge of SDLC, Agile methodologies, and strong interpersonal and leadership skills to effectively motivate teams.
• Familiarity with the AdTech or Retail domain is an added advantage
• Work experience preferably in a product company

We are looking for a hands-on Lead/ Senior DevOps Engineer to raise the bar for our DevOps practice, mentor the team, and help evolve our DevOps function into a modern, product-minded Platform Engineering capability. You’ll lead day-to-day work, partnering closely with Dunnhumby leadership, and drive high-quality outcomes across infrastructure-as-code, CI/CD, observability, and developer experience. You’ll collaborate directly with software teams and treat platforms as products—anchored by user feedback, clear roadmaps, SLOs, and measurable improvements to delivery speed and reliability.

Our Toolset: (you don’t need all, but you can lead with most)

What You'll Do

• Lead and mentor a small team of DevOps engineers in IST, providing day-to-day guidance, pairing, and structured growth plans.
• Partner with product and engineering teams to help deliver a platform-as-product: contributing to clear roadmaps, customer feedback loops, SLOs, and well-documented golden paths.
• Own cloud infrastructure (GCP, some Azure) using infrastructure-as-code (Terraform).
• Design, standardize, and continuously improve CI/CD pipelines in GitLab, and facilitate migrations from TeamCity and Octopus Deploy.
• Establish and scale GitOps practices with Argo CD; champion progressive delivery and environment promotion strategies.
• Strengthen observability with actionable dashboards and alerts in Grafana; drive SLO/error-budget thinking and operational reviews.
• Improve security posture across the SDLC (secrets management, image/package governance, artifact hygiene, SAST/DAST reporting via SonarQube).
• Facilitate excellent cross-time-zone communication and handovers; set up crisp status updates, docs, and runbooks in Confluence.
• Influence architecture and reliability decisions (Kubernetes, networking, IAM, cost management) with a bias for automation and sustainability.
• Contribute hands-on: code reviews, IaC modules, pipeline templates, and reference implementations.

What You'll Bring

• 8+ years in DevOps / SRE / Platform Engineering with hands-on delivery in cloud-native environments.
• Proven leadership: experience in line management and mentoring/coaching across teams without formal authority.
• Strong communication: clear written and verbal communication with engineers, stakeholders, and leadership across time zones.
• Deep experience with GCP (preferred) and working knowledge of Azure; strong grounding in Kubernetes, networking, IAM, and security fundamentals.
• Mastery of infrastructure-as-code (Terraform) and configuration management (Helm); excellent scripting in Bash and at least one higher-level language (Python/Go/etc.).
• Fluency with CI/CD design and operations using GitLab, TeamCity, and Octopus; artifact and dependency management via Artifactory.
• Operational excellence mindset: incident management, post-incident reviews, runbooks, SLOs, and data-driven improvement via DORA/SDLC metrics.
• Track record of building developer-centric platforms, internal documentation, enablement materials, and golden paths.
• Relevant certifications that demonstrate depth (e.g., Google Professional Cloud DevOps Engineer / Architect, CKA/CKAD/CKS, Azure Administrator/DevOps Engineer Expert).

Nice to Have

• Experience modernizing a traditional Cloud/Infra team into a product-oriented Platform Engineering practice.
• Background with GitOps policy/guardrails, environment promotion, and release orchestration at scale.
• Exposure to cost optimization and FinOps practices in GCP/Azure.
• Hands-on with self-hosted GitLab Premium administration at enterprise scale.
• Pragmatic, outcome-focused delivery with a product mindset and high empathy for developers as customers.