About the Role

The Regional Payroll Operations Specialist is responsible for the independent execution, validation, and resolution of complex payroll activities across assigned countries or regions.

This role owns end-to-end resolution of payroll issues, including investigation, correction, stakeholder communication, and documentation. The Specialist applies statutory expertise, payroll controls, and data validation practices to ensure payroll accuracy, compliance, and audit readiness.

This is an individual contributor role with direct accountability for payroll accuracy, issue resolution, and compliance adherence within assigned scope.

Key Responsibilities

 Payroll Validation, Reconciliation & Sign-Off Support

• Perform detailed validation of payroll inputs, including earnings, deductions, taxes, and employee data changes, prior to payroll processing as necessary
• Execute pre- and post-payroll reconciliations, including gross-to-net validation, variance analysis, and comparison against prior periods as necessary
• Identify, investigate, and resolve data inconsistencies, calculation errors, and out-of-tolerance variances
• Validate payroll outputs against statutory requirements, employment agreements, and internal policies
• Provide documented validation and approval support for payroll sign-off, including clear audit trails of reviews performed
• Escalate identified risks, discrepancies, or compliance concerns prior to payroll finalization

Payroll Issue Ownership & Resolution

• Own end-to-end resolution of complex payroll cases, including root cause analysis, correction, and stakeholder communication
• Investigate issues related to incorrect pay, tax miscalculations, retroactivity, benefits deductions, off-cycle payments, and statutory reporting errors
• Perform manual calculations and adjustments where system outputs are incorrect or incomplete
• Coordinate corrections across payroll systems, HR systems, and external providers, ensuring alignment before processing
• Provide clear, written explanations of payroll outcomes, corrections, and impacts to internal stakeholders and employees
• Ensure all cases are fully documented, including root cause, resolution steps, and preventive actions

Statutory Compliance & Regulatory Execution

• Apply country-specific payroll laws, including tax regulations, social contributions, and reporting obligations, within assigned regions
• Validate payroll outputs to ensure compliance with local statutory requirements and filing obligations
• Prepare and provide supporting documentation for audits, regulatory reviews, and internal compliance checks
• Identify and flag non-compliance risks, incorrect statutory applications, or gaps in payroll execution
• Ensure required statutory corrections, adjustments, and filings are completed accurately and within required timelines

Cross-Functional Coordination & Dependency Management

• Partner with HR, Benefits, Finance, and Shared Services to obtain, validate, and correct payroll inputs impacting processing
• Coordinate with external payroll providers to investigate discrepancies, validate calculations, and ensure timely corrections
• Act as the point of contact for payroll escalations, ensuring alignment across all stakeholders involved in resolution
• Drive timely resolution by managing dependencies, following up on required inputs, and ensuring accountability across teams

Root Cause Analysis, Controls & Process Improvement

• Conduct root cause analysis on recurring payroll errors or systemic issues, identifying breakdowns in process, data, or controls
• Implement or recommend corrective actions, including process updates, validation checks, and control improvements
• Maintain and update Standard Operating Procedures (SOPs) to reflect current processes and statutory requirements
• Ensure all process changes are documented with clear control points and ownership defined
• Contribute to improving payroll accuracy, processing efficiency, and scalability through structured process enhancements

Regional Ownership & Language Support

• Own payroll operations for assigned countries or regions, including validation, issue resolution, and compliance alignment
• Apply region-specific statutory knowledge, payroll practices, and regulatory requirements in all payroll activities
• Provide support in local language(s) where required for employee communication, documentation review, and stakeholder interaction
• Ensure payroll practices align with regional legal requirements, cultural considerations, and operational expectations

Qualifications

Required

• 3–5+ years of experience in payroll operations, payroll processing, or payroll administration
• Hands-on experience supporting payroll across multiple APAC countries, with a strong understanding of regional payroll requirements, processes, and compliance considerations.
• Demonstrated experience owning and resolving complex payroll issues, including reconciliations and corrections
• Strong working knowledge of payroll calculations, tax application, and statutory compliance requirements
• Experience performing payroll validation, variance analysis, and reconciliation activities
• Proficiency in payroll systems and Excel (e.g., data analysis, comparisons, reconciliations)
• Ability to handle sensitive payroll data with accuracy, confidentiality, and attention to detail
• Strong analytical, problem-solving, and documentation skills

Preferred

• Experience of operating within a tiered payroll or shared services delivery model
• Exposure to multi-country or regional payroll operations
• Experience working with external payroll providers or vendors
• Payroll certification (e.g., CPP or equivalent, where applicable)

WHO YOU ARE:

Senior Software engineer plays a key role in the design, development/configuration, unit testing, installation, and ongoing maintenance of Zinnia software platforms. Works with stakeholders to develop solutions and/or products that fulfill the needs of Zinnia’s internal stakeholders and clients. Those solutions and/or products help Zinnia and Zinnia clients to be more efficient and provide better service to end customers. Technical Architect interacts directly with project managers and business stakeholders and may periodically interact directly with Zinnia’s clients. Will facilitate, Architect, and enable junior team members by acting as a mentor for soft skills and/or technical subject matter experts.

WHAT YOU’LL DO:

• Work as part of a global, cross-functional team to develop innovative software for Zinnia’s stakeholders.
• Contribute to projects by creating well-designed, customized, testable, and efficient code for Life & Annuity Exchange
• Assist our teams in providing ongoing support, troubleshooting, improvements, or custom enhancements to existing Life & Annuity Exchange
• Flexibility to support the challenging development and delivery needs of Zinnia
• Collaborate with our global teams, internal stakeholders, and customers.
• Act as a mentor and technology expert for team members and conduct technical reviews.
• Architect, Design, develop and validate various requirements for the Zinnia platforms
• Ability to work in a fast-paced environment, recognize and react to changing business needs and effectively prioritize tasks
• Must be self-motivated and able to work independently and in conjunction with team members and business units. Enthusiasm and flexibility to work on a variety of projects

WHAT YOU’LL NEED:

• 10+ years of expertise across the full Microsoft .NET ecosystem — owning technical direction from architecture design through production, setting standards, mentoring engineers, and driving SDLC maturity within Agile/Scrum organizations; deep expertise in C#, ASP.NET Core, and enterprise design patterns
• Architecting, designing, developing, and delivering solutions using C#/.NET, ASP.NET Core, MVC, Web API, Visual Studio IDE, SSRS, SOAP, XML, GitHub; leads API design strategy at scale — defining standards for security (OAuth2, JWT), versioning, documentation (OpenAPI/Swagger), and performance across distributed microservices environments
• Understanding of advanced design patterns, API-first design, and SOLID principles
• Effective communication, interpersonal, and critical thinking skills.
• Effective troubleshooting skills.
• Ability to work as part of a cross-functional, global team.
• Fluent client communication, Issue management, deployment, and delivery support;
• Hands-on experience designing and deploying cloud solutions on AWS — working across compute, storage, and serverless services with a focus on scalability and cost efficiency; contributes to cloud best practices and supports team adoption
• Team coordination, analytical skill, self-learning, Communication, Technical documentation, system analysis
• Contributes to RESTful API design strategy at scale, helping define standards for security (OAuth2, JWT), versioning, documentation (OpenAPI/Swagger), and performance. Supports the design of integration layers between systems and promotes API governance across distributed teams and microservices environments
• Exposure to AI integration, including LLM APIs, prompt engineering, RAG pipelines, and AI-powered feature development, with a willingness to apply emerging AI capabilities to real-world product use cases

Good to have:

• Working experience on enterprise-level applications/products
• Working experience in React/Angular
• Insurance/financial services (Life and Annuity) industry knowledge
• Experience with Web-based software as a service (SaaS) application
• Knowledge of Redis Cache for in-memory data structure storage and caching
  
  

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability

BOLD is seeking a senior professional to implement and run Testing and Quality Assurance specifically designed for AI-driven products and Data Science workflows. In this role, you will bridge the gap between traditional software testing and modern machine learning evaluation. You have a great team management and organizational skills. You’ll have a broad mastery of capabilities, techniques, technologies and tools in the Testing and QA domains. You’ll be handling QA teams of various sizes and expertise.

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them up to to date with technology.

WHAT YOU’LL DO 

• Develop and own the QA strategy for AI-driven features, focusing on model accuracy, data drift, and performance metrics (Precision, Recall, F1-score).
• Implement state-of-the-art AI tools (e.g., GitHub Copilot, or custom LLM agents) to automate test case generation, code analysis, and synthetic data creation.
• Oversee the testing of Generative AI outputs, implementing "LLM-as-a-judge" frameworks to evaluate hallucination rates, toxicity, and prompt adherence.
• Develop and own BOLD’s quality framework from product development through to production
• Should be able to drive the initiatives (both Business and QA) in his area along with needed smooth coordination across the board to ensure a timely achievement of goal.
• Take part in Requirement Analysis, Sprint planning, Bug triage meetings.
• Liaise with product, development, and infrastructure teams to collaborate on delivery of high quality, high performance, and high availability applications
• Develop quality scripts with needed coverage to ensure defect free releases.
• Manage and mentor team members to maximize output and efficiency and promote a team culture of quality and fun
• Motivate, Encourage, Guide Teams maintaining equilibrium and satisfaction level.
• Give technical/logical solutions to problems faced by the teams and remove hurdles blocking releases.
• Evaluate and suggest new tools and technologies

WHAT YOU’LL NEED

• Solid understanding of the Machine Learning lifecycle (EDA, Training, Evaluation, Deployment).
• Experience using LLMs (GPT, Claude, Llama) and AI-coding assistants to accelerate the testing lifecycle.
• Experience in a high volume, high throughput web/ecommerce environment.
• Hands-on experience with UI/API automation (Selenium, Playwright, or Cypress) integrated with AI-driven healing capabilities.
• Experience with web service technology like XML, REST, SOAP
• Knowledge on any of the query language like SQL, JQL etc.
• Experience in testing complex web and mobile apps.
• Strong application architecture and technical knowledge
• Strong knowledge of web concepts, including web performance infrastructure.
• Able to play the role of a scrum master, with strong coordination skills
• Knowhow of basic UX standards, SEO/ SEM concepts and key tracking matrices
• Strong communication skills 

EXPERIENCE- 

• Module Lead, QA (AI/ML & Automation)- 5 years+

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 

WHAT YOU’LL NEED 

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Should have done one or more projects involving fine-tuning with LLMs 
• Experience in feature selection, building and optimising classifiers. 
• Experience working with backend technologies such as Flask/ Gunicorn etc. 
• Experience on working with open source library such Spacy,NLTK,Gensim etc  
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc  
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. 
• Be a keen learner and enthusiastic about developing software.    

EXPERIENCE- 

• Software Engineer- 2.5 years+
• Senior Software Engineer-4.5 years+

#LI-SV1

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Head of Quality Engineering to lead and scale our QA function in India (Relocation to Noida required) 

 This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

This role offers relocation to Noida, its important that you are happy to relocate to Noida and our team will support your relocation 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

The opportunity:

VML is seeking a highly experienced, strategic, results driven and hands-on Head of Talent Acquisition to lead our critical talent growth initiatives for the India market. This is a pivotal leadership role, reporting directly to the CPO and is instrumental in defining, driving, and delivering our ambitious hiring goals. 

You will take complete ownership of VML's entire talent acquisition lifecycle, responsible for scaling and optimising a high-volume recruitment engine tasked with attracting and securing both experienced professionals and graduates annually across diverse functions. Beyond strategic oversight, this role demands actively engaging in critical hires while simultaneously designing, implementing, and refining end-to-end talent acquisition processes to drive efficiency, quality, and an exceptional candidate experience. 

You will lead, mentor, and develop a team of up to 20 Talent Acquisition professionals, fostering a culture of excellence and innovation. Success in this role hinges on your ability to build strong, collaborative partnerships with senior stakeholders across multiple business units and geographic regions, including APAC and EMEA, ensuring talent strategy is seamlessly aligned with global business objectives and VML's strategic vision 

What you’ll be doing:

Strategic Talent Acquisition Leadership & Delivery: 

• Define, own, and execute the end-to-end Talent Acquisition strategy for VML's India operations to support growth. 
• Actively participate in the hands-on delivery of high-priority requirement to meet business needs. 

Global Stakeholder Partnership & Advisory: 

• Cultivate strong, trusted partnerships with senior business leaders and hiring managers across VML's India, APAC, and EMEA regions. 

Process Optimisation & Operational Excellence: 

• Manage end-to-end process improvement and change management initiatives across all TA functions. Identify inefficiencies, streamline workflows, and implement best practices to ensure our recruitment operations are highly scalable, efficient, and capable of supporting our aggressive annual hiring targets. 
• Champion the evaluation, adoption, and optimisation of TA technologies and tools, including AI-driven solutions, advanced assessment methodologies, and automation. Leverage technology to enhance efficiency, scalability, candidate experience. 

Team Leadership & Development: 

• Create a high-performing team structure to deliver the business requirements, ensuring best practice and fostering a culture of continuous learning, accountability, and excellence. 
• Provide hands-on guidance, performance coaching, and career development opportunities, empowering the team to achieve ambitious hiring targets and develop into talent advisors. 

Data-Driven Performance & Forecasting: 

• Establish and leverage a data-driven TA framework. Continuously monitor, analyse, and report on key performance indicators (KPIs) such as time-to-fill, cost-per-hire, offer acceptance rates, quality of hire, source effectiveness. 
• Use these insights to proactively identify bottlenecks, optimise processes, forecast talent needs, and inform strategic decisions that drive continuous improvement. 

Talent Pipeline & Campus Strategy: 

• Develop, implement, and oversee a robust campus hiring strategy for VML India, building sustainable talent pipelines across various functions for future growth and ensure a consistent influx of entry-level talent to meet business needs 
• Innovate and execute diverse sourcing strategies to build proactive talent pipelines for critical and hard-to-fill roles. 

What we want from you:

We are seeking an exceptional and results-oriented Talent Acquisition leader with a proven track record of, hands-on experience in high-growth, fast-paced environments, The ideal candidate will be a strategic thinker, an operational expert, and an inspiring leader, clearly demonstrating the following: 

• Prior experience as a Head of Talent: creating Talent structures and strategies to deliver high volume recruitment ideally within a Global Capability Centre (GCC) or a prominent IT/Digital Services consultancy in India. 
• Significant experience in managing, mentoring, and developing large Talent Acquisition teams with demonstrable expertise in owning and scaling the entire talent acquisition lifecycle  
• Prior experience delivering proactive sourcing strategies to build talent pipelines for volume recruitment, niche roles and campus recruitment programs  
• You will have worked with senior business leaders and executives across diverse functions and global geographies (including APAC and EMEA)  
• Experience with process optimisation, re-engineering and optimising TA processes, and successfully leading change management initiatives to enhance scalability, drive operational excellence, and elevate the candidate and hiring manager experience. 
• Experience hiring across Technology, digital, AI, creative and marketing roles 
• You will have an analytical and data-driven mindset, with a track record of leveraging TA analytics and KPIs (e.g., time-to-fill, cost-per-hire, source effectiveness, quality of hire, diversity metrics) to inform strategic decisions, optimise performance, and demonstrate ROI. 

      Personal Attributes: 

• Thrives in dynamic, high-pressure, and often ambiguous environments, demonstrating exceptional problem-solving skills, adaptability, and resilience in driving outcomes. 
• Outstanding verbal and written communication skills, with the ability to articulate complex strategies, influence stakeholders at all levels, and present data-driven insights clearly and concisely. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.
#LI-APAC #LI-HYBRID

Head of Quailify Engineering needed to lead and scale our QA function in India. This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

We are VML Enterprise Solutions - a group of talented engineers, tech experts, and creators who combine our passions and contribute to the IT world. You may know us better as Wunderman Thompson Technology – in 2024 we changed our name, but at the same time, we remained a great team of people who deliver our best. We design, build, manage and run complex technology platforms and help our clients to benefit from our work and creativity.   

The opportunity:

An experienced Release Manager, who leads teams to follow best practices in development standards and coding reviews. You have an enthusiasm for learning new skills and initiative to deliver the best outcomes for our clients.

You will be primarily responsible the management and protection of releases through, where appropriate, Build/Develop, QA, UAT, Pre-Prod and Production environments across multiple technical stacks including front ends, middleware, core commerce platforms and more.

What you’ll get to do:

• Negotiate, plan, and manage all release activities.
• Analyse risks and resolve issues that affect release scope, schedule, and quality.
• Work cohesively with external partners, suppliers, product owners, and system integrators (SI’s)
• Develop common strategies for release governance across multiple systems
• Communicate release details and schedules to the Business as required.
• Act as guardian to uphold the integrity of the branching strategy and ensure processes are optimised to enable frequent and smooth releases
• Know and understand impacts of branches and code merges in the repositories used by the dev teams.
• Work with third party managed-hosting providers to increase automated processes end-to-end
• Work with the development teams.
• Coach and help automate release processes.
• Inform senior management of enterprise-wide exposure to release risk and effectively mitigate it
• Create, track, and maintain a published release and deployment calendar.
• Know the tech stack of the development process so you can participate and discuss with the development teams the challenges of the full delivery workflow.
• Maintain release documentation and manage key information such as build and release procedures, dependencies, and notification lists.
• Work with respective teams for sign off including manual, automation, performance and security testing to name a few
• Work with Infrastructure teams to improve a process, pass awareness of potential problems risks and oversee that the process is fit for the Release process needs.
• Work closely with Project Management to ensure the efficiency of the delivery of Programmes and Projects (Control, Plan, Measure, Predict and React).
• Work with Service Management in the Post-Mortem analysis and improvements identification.
• Understand Infrastructure where applications will be deployed and the different technologies that can be involved in a complex e-commerce environment. This way you should build bridges between the product delivered and Infrastructure that supports it

What you should have:

• Experience in DevOps related release management including implementing and managing the release management lifecycle
• Knowledge of software development, preferably on web (e-commerce) sites.
• Knowledge in software build, repository, and maintenance tools like GitHub, Gitlab, Jenkins, Bitbucket or any other automation build and deployment tools.
• Experience working in agile environments with SCRUM methodologies.
• Passionate about delivering quality software and defending the customer/end-user perspective.
• Good communication skills and teamwork believer.
• Strong time management & organisational skills.
• Interested in automating things.
• You like to learn and investigate new technologies that the company is working with or will work in the future.
• Experience in Continuous Integration, Delivery, Deploy methodologies.
• Excellent negotiation skills and an ability to handle sensitive issues with tact and diplomacy.

You will collaborate with our UK project team, so we’ll need you to be available until 18:00 PL

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

At VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team. 

#LI-HYBRID #LI-APAC

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.

As an Solutions Engineer, you will actively contribute to, architect for, and lead the company in the design and development of new infrastructure automation projects. You will be instrumental in helping us solve, by architecture and implementation, complex hybrid infrastructure problems among corporate’s robust inventory of networking systems, applications, and cloud infrastructure. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging on projects under the guidance of the Lead Solution Architect..

You are a strong solutions engineer who is passionate about scalable, resilient, secure, and cost-efficient infrastructure solutions. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as an individual. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.

Responsibilities:

• Designing and implementing complex and well-architected enterprise infrastructure and data solutions
• Work to improve existing systems, solutions, and process through architectural reviews and design enhancement initiatives
• Experience in devops methodologies and practices as applied to infrastructure, cloud, identity, integration and network solutions
• Improve systems to provide strict compliance adherence, security guardrails, and cost-optimization
• Contribute to the re-architecting of systems, solutions, and processes for more streamlined, scalable, and resilient implementations
• Contribute to well-architected, end-to-end provisioning solutions to a growing enterprise organization across multiple environments and types of infrastructure
• Build strong partnerships and engage with other teams at Sumo Logic to create solutions that enable and benefit all parties and increased derived value

Requirements:

• 3+ years of industry experience with a proven track record of ownership and delivery
• Experience developing scalable, secure, and resilient infrastructure architectures and implementations
• Experience in observability and cost-optimization in application, server, and cloud (AWS preferred) settings
• Experience working with on-premise (Fortinet) network devices on a system administration and configuration level
• Experience with DNS (CloudFlare and Route53 preferred) as well as VPN management (FortiClient, ZScaler, and Netskope preferred)
• Experience with Identity Providers (Okta preferred)
• Experience with Certificate Management (Digicert and AWS ACM preferred) and authentication 
• Hands-on infrastructure as code experience (Terraform preferred) as well as CI/CD pipelines (Scalr and GitHub Actions preferred)
• Experience with writing automations and system integrations (Python preferred)
• Strong experience with AWS
• Excellent verbal and written communication skills
• Experience implementing robust and well-architected designs for enterprise scale systems
• Experience and comfort with an on-call schedule for enterprise systems during daylight hours regional time

Desirable:

• Experience in the following specific technologies is a plus:
• ADP
• Azure
• GCP
• Experience with Scalr
• Experience with AI tooling such as Boomi, Databricks (AI portions), AWS Bedrock, Gemini, and Claude
• Experience with Databricks as a whole
• CCNA, CCNP, or equivalent network certifications
• You should have a passion for continuous learning and deep technological curiosity
• Agile development experience and a familiarity with Jira, sprints, and pointing

About Us:

Sumo Logic, Inc., empowers the people who power modern, digital business.  Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

WHO YOU ARE:

Senior Software engineer plays a key role in the design, development/configuration, unit testing, installation, and ongoing maintenance of Zinnia software platforms. Works with stakeholders to develop solutions and/or products that fulfill the needs of Zinnia’s internal stakeholders and clients. Those solutions and/or products help Zinnia and Zinnia clients to be more efficient and provide better service to end customers. Technical Architect interacts directly with project managers and business stakeholders and may periodically interact directly with Zinnia’s clients. Will facilitate, Architect, and enable junior team members by acting as a mentor for soft skills and/or technical subject matter experts.

WHAT YOU’LL DO:

• Work as part of a global, cross-functional team to develop innovative software for Zinnia’s stakeholders.
• Contribute to projects by creating well-designed, customized, testable, and efficient code for Life & Annuity Exchange
• Assist our teams in providing ongoing support, troubleshooting, improvements, or custom enhancements to existing Life & Annuity Exchange
• Flexibility to support the challenging development and delivery needs of Zinnia
• Collaborate with our global teams, internal stakeholders, and customers.
• Act as a mentor and technology expert for team members and conduct technical reviews.
• Architect, Design, develop and validate various requirements for the Zinnia platforms
• Ability to work in a fast-paced environment, recognize and react to changing business needs and effectively prioritize tasks
• Must be self-motivated and able to work independently and in conjunction with team members and business units. Enthusiasm and flexibility to work on a variety of projects

WHAT YOU’LL NEED:

• 10+ years of expertise across the full Microsoft .NET ecosystem — owning technical direction from architecture design through production, setting standards, mentoring engineers, and driving SDLC maturity within Agile/Scrum organizations; deep expertise in C#, ASP.NET Core, and enterprise design patterns
• Architecting, designing, developing, and delivering solutions using C#/.NET, ASP.NET Core, MVC, Web API, Visual Studio IDE, SSRS, SOAP, XML, GitHub; leads API design strategy at scale — defining standards for security (OAuth2, JWT), versioning, documentation (OpenAPI/Swagger), and performance across distributed microservices environments
• Understanding of advanced design patterns, API-first design, and SOLID principles
• Effective communication, interpersonal, and critical thinking skills.
• Effective troubleshooting skills.
• Ability to work as part of a cross-functional, global team.
• Fluent client communication, Issue management, deployment, and delivery support;
• Hands-on experience designing and deploying cloud solutions on AWS — working across compute, storage, and serverless services with a focus on scalability and cost efficiency; contributes to cloud best practices and supports team adoption
• Team coordination, analytical skill, self-learning, Communication, Technical documentation, system analysis
• Contributes to RESTful API design strategy at scale, helping define standards for security (OAuth2, JWT), versioning, documentation (OpenAPI/Swagger), and performance. Supports the design of integration layers between systems and promotes API governance across distributed teams and microservices environments
• Exposure to AI integration, including LLM APIs, prompt engineering, RAG pipelines, and AI-powered feature development, with a willingness to apply emerging AI capabilities to real-world product use cases

Good to have:

• Working experience on enterprise-level applications/products
• Working experience in React/Angular
• Insurance/financial services (Life and Annuity) industry knowledge
• Experience with Web-based software as a service (SaaS) application
• Knowledge of Redis Cache for in-memory data structure storage and caching
  
  

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability

#LI-AS2

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required. 

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross-functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Estimates efforts, identify risks, devises and meets project schedules. 
• Runs review meetings effectively and drive the closure of all open issues on time. 
• Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.                  
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Implement and experiment with agentic workflows to improve the job seeker experience. 
• Rises above detail to see broader issues and implications for whole product/team.  

WHAT YOU’LL NEED

• Should be able to handle a team of 2-5 members, if required. 
• Knowledge and experience using statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience with distributed, semantic and vector based search and match systems.  
• Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents. 
• Experience in feature selection, building and optimizing classifiers. 
• Experience with software stack components, including common programming languages, back-end technologies, database modelling, continuous integration, services-oriented architecture, software testability, etc. 
• Langchain and/or Llamaindex. 
• Be a keen learner and enthusiastic about developing software. 
   

EXPERIENCE- 

• Project Lead, Data Science- 8 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Estimates efforts, identify risks, devises and meets project schedules. 
• Runs review meetings effectively and drive the closure of all open issues on time 
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Rises above detail to see broader issues and implications for whole product/team. 

WHAT YOU’LL NEED

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design. 
• Experience with Solr/OpenSearch/Elasticsearch .
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience in feature selection, building and optimising classifiers. 
• Experience working with backend technologies such as Flask/ Gunicorn etc. 
• Experience on working with open source library such Spacy,NLTK,Gensim etc  
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc  
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. 
• Be a keen learner and enthusiastic about developing software.  

EXPERIENCE- 

• Module Lead, Data Science- 5.5 years

#LI-SV1

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs. 
• Responsible for converting business requirements into robust data science algorithms. 
• Responsible for providing technical leadership to a team of data science engineers. 
• Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.  
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Responsible for creating model validation framework. 
• Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data. 
• Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams. 
• Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation. 
• Assess, inspire and motivate a high performing team of data science professionals. 

WHAT YOU’LL NEED

• Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution. 
• Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods. 
• 10+ yrs of working experience in MLData science with NLP background  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus. 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch). 
• Experience in leading a team of 3-5 data scientists. 
• Experience using tools to deploy models into the production environment such as Jenkins 

 EXPERIENCE- 

• Engineering Manager, Data Science- 10 years+

#LI-SV1

Who You Are:

We’re building a next-generation Product Operations function to help our growing organization scale efficiently — and we’re looking for an ambitious, detail-oriented Associate Product Operations Manager to be part of this journey.

As an early member of the Product Ops team, you will play a critical role in designing scalable workflows, embedding AI-driven efficiencies, and enabling high-velocity product development. You’ll work at the intersection of Product, Engineering, and AI, helping teams operate smarter through automation, structured processes, and intelligent tooling.

This is a hands-on role ideal for someone who understands how modern product organizations leverage AI, automation, and data to drive impact.

What You Will Do:

Process Design, AI Integration & Workflow Automation

• Partner with Product, Engineering, and AI teams to design, document, and optimize product development workflows.
• Identify repetitive/manual processes and implement workflow automation using AI and collaboration tools and integrations.
• Contribute to building AI-powered operational use cases (e.g., automated reporting, requirement summarization, sprint insights, ticket classification).
• Support implementation of frameworks across:
  • Roadmap planning
  • Sprint Cycles
  • Release Management
  • Product Reviews
• Continuously improve processes to enhance speed, quality, and scalability.

Product Lifecycle & Agile Operations

• Support and optimize the end-to-end product lifecycle in an Agile environment.
• Work closely with Product Managers to improve planning, prioritization, and execution hygiene.

Data

• Collect and organize product metrics and performance data Build dashboards and reporting systems to track:
  • Product Performance
  • Project Status
  • Operational KPIs
• Assist in tracking and communicating progress toward key product and business goal

Cross-Functional Collaboration

• Act as a connector between Product, Engineering, AI/ML, and GTM teams.
• Collaborate on AI solutioning and tooling initiatives to improve product operations.
• Facilitate alignment, maintain documentation, and ensure accountability across teams.

Tools Setup, Governance & Optimization

• Help manage and optimize core product management and collaboration tools (e.g., Jira, Airtable, Confluence) and AI productivity tools (e.g., LLM-based assistants, automation platforms)
• Ensure data integrity, process compliance, and scalable tool usage.
• Research, evaluate and implement new tools to improve efficiency and automation maturity.
• Support the rollout of new tools, systems, and processes across the organization.

What You will Need:

Required Qualifications:

• Bachelor’s/Master’s degree in Business, Engineering, Information Systems, or related field.
• 3–4 years of experience in Product Operations, Business Operations, or Process Improvement roles.
• Strong understanding of:
  • Product lifecycle in Agile environments
  • Workflow automation concepts and tools
• Hands-on or working knowledge of:
  • AI tools (e.g., ChatGPT, Claude, automation tools, AI copilots
  • AI use cases in product or business workflows
• Experience collaborating with Product, Engineering, and/or AI teams.
• Hands on with tools like Jira, Airtable, Confluence.
• Strong analytical, problem-solving, and documentation skills.
• Excellent written and verbal communication.
• A proactive mindset — eager to take ownership and learn in a fast-paced, evolving environment.
• Experience working in or with technology-driven organizations.

Preferred Qualifications (Good to have):

• Hands-on experience building automation workflows (Zapier, Make, APIs, scripts, etc.).
• Experience in AI implementation within business or product workflows.
• Exposure to product analytics tools (e.g., Pendo, Mixpanel, Amplitude).
• Understanding of data structures, APIs, or system integrations.

Soft Skills:

• Highly collaborative and comfortable working across multiple teams and functions.
• Curious, data-driven, and eager to experiment with new systems or workflows.
• Strong sense of ownership and accountability.
• Adaptable to change and comfortable in a startup or fast-growth environment.

Why This Role Is Exciting:

• Shape the foundation of a fast-growing Product Operations team and have a lasting impact on how the company scales.
• Gain exposure to all parts of the product lifecycle — from strategy and execution to launch and iteration.
• Work closely with Product, Engineering, and Leadership on high-visibility initiatives.

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

^#LI-RS1

WHO YOU ARE:

We’re seeking a forward-thinking AI Product Manager with strong technical depth in Machine Learning, LLM-based products, Automation, and API-driven platform design. In this role, you will define, build, and scale AI-powered solutions across Zinnia’s digital insurance platform, enhancing underwriting, claims, operations, and customer engagement workflows.

You’ll work at the intersection of AI innovation, insurance expertise, and engineering execution, translating business needs into scalable products that deliver measurable impact.

WHAT YOU’LL DO:

• Contribute to the product vision and roadmap for AI/ML initiatives across Zinnia’s platform.
• Identify high-impact opportunities to integrate AI into insurance value chains (underwriting, policy admin, claims, distribution, agent enablement).
• Evaluate new AI technologies - Agentic AI, Gen AI (LLMs, RAG, predictive analytics, automation frameworks) and drive adoption across the organization.
• Translate user problems and business needs into clear product requirements, PRDs, and user stories.
• Work closely with engineering, data science, design, actuarial, and insurance SMEs to ship high-quality AI products.
• Drive API-first development for system integrations with carriers, distributors, third-party data providers, and internal platforms.
• Ensure AI and APIs follow robust security, compliance, and governance guidelines—especially relevant to Life & Annuities.

AI/ML Technical Collaboration:

• Understand ML lifecycle basics (data pipelines, model drift, monitoring, inference performance).
• Work with engineers to design and expose AI capabilities via scalable APIs and microservices.

WHAT YOU’LL NEED:

• A Bachelor's/Master's Degree with 5-8 years of Product Management experience, with at least 2–3 years in Agentic AI, Gen AI, AI/ML, data products, or automation-based products.
• Experience working with APIs, microservices, and modern cloud architectures (AWS/Azure/GCP).
• Ability to write detailed requirements for API integrations, data flows, and AI capabilities.
• Strong understanding of ML concepts (classification, NLP/LLMs, predictive models, evaluation metrics).
• Proven ability to work with Data Science and Engineering teams in a deeply technical environment.
• Strong problem-solving skills with a bias for experimentation, iteration, and measurable output.
• Excellent communication skills, especially in simplifying complex AI concepts for non-technical stakeholders.

Preferred Qualifications:

• Experience in InsurTech, Life & Annuities, financial services, or regulated industries.
• Familiarity with underwriting data sources (e.g., Rx, MIB, credit), claims/operations automation, or distribution workflows.
• Experience with LLM products, vector databases, prompt engineering, or RAG systems.
• Exposure to compliance frameworks related to AI ethics, data privacy, and model governance.

WHAT’S IN IT FOR YOU?

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, profit sharing, PF, incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1

Bold is seeking a Devops professional who owns production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Architect and productionize microservices with advanced DevOps pipelines , partnering with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
• Design comprehensive observability frameworks to minimize MTTR and ensure24x7platform reliability.
• Engineer secure, automated CI/CD workflows with governance and compliance controls
• Lead 24x7 on-call engineering, CDN & security hardening and cost optimization strategies IAAS & PAAS in Cloud
• Manage infrastructure operations, production deployments, and hybrid cloud environments.
• Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations

WHAT YOU’LL NEED

• 4.5+ years (Sr. Engineer) / 7+ years (Module Lead)AWS/DevOps production experience
• Scripting: Python/Bash/Groovy/Java(CI/CD, EKS, FastAPI/Spring Boot)
• CI/CD: Jenkins (declarative pipelines, Groovy),Spinnaker, CodePipeline /CodeBuild, Gradle, Maven, Artifactory, GitHub Actions
• IaC:Terraform, AWS CloudFormation
• Containers: EKS + Istio/ Gloo/ Karpenter, ECS, Docker, Buildah
• AWS: VPC/IAM/GuardDuty/AWS Config, S3/ DynamoDB /Lambda /SageMaker /EMR, cost optimization
• Observability: Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor
• GitHub: Actions automation, branch/PR governance
• DNS management (NS1/Cloudflare/GoDaddy)

EXPERIENCE-

• Sr. Engineer Devops AWS (Automation)- 4.5 years+

Senior Software Engineer II - Cloud SOAR, CyberSecurity

Location-Noida/Bangalore(Hybrid)

Sumo Logic's Cloud SOAR (Security Orchestration, Automation, and Response) platform enhances security operations by automating and orchestrating workflows across diverse security tools and systems. SumoLogic is seeking a highly skilled and experienced Senior Software Engineer to join our Cloud SOAR team. As a Senior Software Engineer, you will play a critical role in designing, developing, and maintaining our cutting-edge cloud-based SOAR solutions. This role requires a deep understanding of cybersecurity, cloud technologies, and a passion for innovation.

Key Responsibilities:

• Design and Development: Architect, design, and implement scalable and reliable cloud-based SOAR solutions that meet the highest standards of software quality and performance.
• Cybersecurity Expertise: Utilize your expertise in cybersecurity to develop advanced threat detection, response, and automation capabilities within our SOAR platform.
• Collaboration: Work closely with product management, architects, and other engineering teams to define technical requirements and deliver high-quality features.
• Innovation: Stay abreast of the latest trends and advancements in cloud security and SOAR technologies. Drive continuous improvement and innovation within the team.
• Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.
• Customer Focus: Engage with customers to understand their needs and challenges, translating them into effective technical solutions.
• Cross-functional Collaboration: Collaborate with Ops/SRE and customer success teams to ensure timely responses and resolutions to customer escalations and production issues.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 7+ years of hands-on experience in software engineering, 
• Technical Skills: Proficiency in cloud technologies (AWS, Azure, GCP), programming languages (Python, Java, Go, etc.). Preferred to have experience in working in CyberSecurity related technologies like SIEM/SOAR.
• Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions.
• Agile Development: Experience with Agile development methodologies and practices.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Customer Orientation: Experience in working directly with customers to gather requirements, provide support, and deliver solutions that meet their needs.

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

BOLD is seeking for Devops professional to own the production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. 
• Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. 
• Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. 
• Manage data/feature stores and search infrastructure for scalable ML inference. 
• Automate CI/CD for ML models and infrastructure with governance and security compliance. 
• Handle security patching, cost optimization, and 24x7 on-call rotations for critical services. 
• Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes.​ 

WHAT YOU’LL NEED

• 4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search). 
• Python/Bash scripting for CI/CD, provisioning, monitoring of  FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). 
• AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). 
• Strong Linux and networking fundamentals;  
• Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).​ 

EXPERIENCE-

• MLOps Sr. Engineer, DevOps - 4.5+ years 

#LI-SV1