About the team 

A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. 

We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. 

About the role 

In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. 

What you will be doing 

• Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence 

• Design and run experiments, measure impact, and translate results into product decisions and customer outcomes 

• Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics 

• Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks 

• Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems 

• Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity. 

We’re excited if you have 

• 5+ years of experience applying ML or data science to real business problems at scale 

• Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field 

• Strong CS fundamentals and ability to design efficient algorithms and production systems 

• Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) 

• Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems 

PREFERRED QUALIFICATIONS 

• Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar 

• Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.) 

• Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus 

• Prior publications, patents, or open-source contributions are a plus 

Role Overview

We are seeking a Senior NetSuite Engineer to serve as a technical and functional owner of NetSuite, with deep expertise across Order-to-Cash (O2C), Record-to-Report (R2R), and core accounting processes. This role will partner closely with Finance, Accounting, Revenue Operations, Tax, and IT to design, build, and scale NetSuite solutions that enable accurate financial reporting, operational efficiency, and compliance.

The ideal candidate combines strong accounting domain knowledge with hands-on NetSuite configuration and development expertise, and has experience supporting complex revenue models, multi-entity environments, and close automation.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Key Responsibilities

NetSuite Ownership & Solution Design

• Act as a senior technical and functional lead for NetSuite, owning design decisions and best practices across O2C and R2R
• Translate business requirements into scalable NetSuite solutions using native configuration and custom development where required
• Lead NetSuite architecture decisions across subsidiaries, accounting books, and integrations

Order-to-Cash (O2C)

• Own NetSuite support and enhancements for
• Quotes → Sales Orders → Billing → Revenue Recognition → Cash Application
• Configure and optimize
• Billing schedules, invoice automation, and credit memo workflows
• Revenue Recognition including SSP, fair value pricing, and rev rec rules
• Multi-element arrangements, usage-based billing, subscriptions, and amendments
• Partner with Sales Ops and RevOps on
• Salesforce → NetSuite integrations
• Deal structure validation and downstream accounting impacts
• Reduce manual effort, billing errors, and revenue leakage through automation and controls.

Record-to-Report (R2R) & Accounting

• Own NetSuite processes supporting
• General Ledger, AP, AR, Fixed Assets, Intercompany, and Consolidations
• Design and enhance
• Month-end and quarter-end close workflows
• Journal entry automation and approvals
• Account reconciliations and variance analysis support
• Support multi-entity, multi-currency, and multi-book accounting environments
• Ensure alignment with GAAP/IFRS requirements, SOX controls, and audit readiness

Customization & Development

• Develop and maintain
• SuiteScript (1.0 / 2.x), SuiteFlow workflows, SuiteBuilder customizations
• Saved searches, dashboards, KPIs, and financial reports
• Build robust approval workflows, validations, and exception handling
• Optimize system performance and reduce technical debt

Integrations & Data Management

• Own and support integrations between NetSuite and
• Salesforce, billing platforms, payment processors, banks, tax engines, and data warehouses
• Partner with integration teams to ensure
• Data accuracy, idempotency, and error handling
• Lead data migrations, transformations, and historical data loads

Controls, Compliance & Audit

• Design and maintain SOX-compliant controls within NetSuite
• Support internal and external audits by
• Providing system documentation
• Explaining configurations and accounting logic
• Ensure strong role-based access controls and segregation of duties

Stakeholder Partnership & Leadership

• Serve as a trusted advisor to
• Accounting, FP&A, RevOps, Tax, and Finance leadership
• Lead NetSuite initiatives including
• New module rollouts
• Re-implementations or major upgrades
• Mentor junior NetSuite administrators and engineers
• Create and maintain system documentation and runbooks.

Required Qualifications 

• 7–10 years of experience with NetSuite ERP environments
• Strong hands-on experience supporting O2C and R2R processes
• Experience in SaaS, subscription, or usage-based revenue models strongly preferred
• Proven experience supporting month-end close and revenue accounting teams

Technical Skills

• Expert in: NetSuite GL, AR, AP, Revenue Management, and Billing
• SuiteScript (2.x preferred), SuiteFlow, and Saved Searches
• Strong experience with:
• Revenue Recognition (ASC 606)
• Multi-entity and intercompany accounting
• NetSuite integrations and data imports
• Concur, Coupa and other financial systems

• Working understanding of:
• GAAP accounting principles
• Revenue recognition and deferred revenue
• Financial close and reporting processes
• Ability to connect system design decisions to downstream accounting and reporting impacts

Soft Skills

• Excellent communication skills; able to bridge technical and accounting audiences
• Strong problem-solving mindset with attention to detail
• Comfortable operating in fast-paced, ambiguous environments
• Ability to lead initiatives independently and influence without authority

Preferred Qualifications

• NetSuite certifications (Administrator, ERP Consultant, SuiteCloud Developer)
• Experience with
• SOX-compliant environments
• Pre-IPO or public company finance systems
• Global tax engines (Avalara, Vertex)
• Prior experience leading a NetSuite re-implementation or major transformation

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.

What You’ll Do

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.

Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.

Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.

Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).

Experience supporting ML feature stores, offline/online feature generation, or model training datasets.

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
• Open-source contributions, publications, or conference speaking.
• BS/MS in CS/Engineering or equivalent practical experience.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai (Hybrid)

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

Key Responsibilities:

• Develop and implement governance strategies, policies, frameworks, and procedures in a multi-cloud environment (GCP, AWS, Azure) to standardize business operations and ensure compliance with regulatory requirements and regulations (SOC 2, HIPAA, GDPR, FedRAMP)

• Work with security teams to effectively enforce Identity and Access Management (IAM) policies and network security best practices across the organization

• Develop and maintain dashboards that would track cloud governance metrics such as security posture, timely key rotation, and compliance

• Collaborate with diverse stakeholders to identify service level objectives (SLOs), key performance indicators (KPIs), and metrics for measuring operational efficiency and compliance

• Work closely with IT, Finance, Security, DevOps, Cloud Architects, and Product Engineering development teams to maintain consistent governance controls across all environments

* This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States.

Requirements:

• 3+ years of working in cloud environment (experience with GCP is highly preferred)

• 3+ years of working with modern public cloud services such as EC2, VPC, S3/GCS, IAM, and AWS/GCP CLI

• Hands-on experience with cloud security controls, identity and access management (IAM), network security, encryption, and data protection tools such as GCP Organization Policy, AWS Config, or Azure Policy

• Proficiency in CI/CD programming, scripting (e.g., Python, PowerShell) and automation tools (e.g., Ansible) for cloud governance and infrastructure management

• Knowledge of automation principles and Infrastructure-as-Code (IaC) tools such as Terraform, AWS CloudFormation, or Azure Resource Manager (ARM)

• Experience establishing and maintaining strong working relationships with a wide variety of business groups (Development, Product, Network Engineering, Voice Engineer, Security, etc.) and being able to translate technical information into business-friendly language

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or other relevant technical field

• Knowledge of Kubernetes best practices

• Experience with Microsoft Active Directory Federation Services (ADFS)

• Experience with Okta integration

• Result orientated, self-starter

• AWS certified

• GCP certified

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

Here's a summary of the role:

If you're a compliance professional who believes that the best controls are the ones that run themselves — this one's for you.

As a Compliance Engineer on our Continuous Controls Assurance team, you'll sit at the intersection of compliance, engineering, and business process — your mission being to make compliance a living, automated reality rather than a periodic exercise. You'll inject compliance directly into how the business operates, building the evidence, signals, and automation that lets us prove we do what we say we do.

This role is particularly suited to candidates who have worked across compliance frameworks and technical environments — whether in SaaS companies, cloud-native organisations, or forward-thinking internal audit and GRC functions — and who are comfortable translating control requirements into code, pipelines, and data.

You'll play a central role in maturing our controls assurance program, moving us from point-in-time testing toward continuous, automated monitoring that scales with the business.

Here's a breakdown of what you'll do:

• Design and build automated controls — translate control objectives across frameworks such as SOC 2, ISO 27001, and PCI DSS into automated tests, scripts, and monitoring logic embedded in business and technical processes
• Own continuous controls monitoring — develop and maintain pipelines that continuously collect, evaluate, and surface control evidence, flagging exceptions and deviations in near real-time
• Embed compliance into the SDLC and business operations — partner with Engineering, DevOps, and business teams to integrate compliance checkpoints, policy-as-code, and configuration validation into CI/CD pipelines and operational workflows
• Bridge GRC and Engineering — translate compliance requirements into technical specifications, and translate system behaviour back into auditable evidence — acting as the connective tissue between the two disciplines
• Maintain the controls evidence repository — ensure control evidence is automatically captured, timestamped, and stored in a format that supports internal review and external audit
• Support audit and assurance activities — provide automated evidence packages for external audits, reducing manual effort and improving audit quality and speed
• Identify and close assurance gaps — conduct control gap assessments, recommend improvements, and own the remediation pipeline through to closure
• Collaborate on policy and standard development — ensure that policies are written in a way that can be operationalised and tested, feeding back where policy language creates ambiguity in controls design

These are the essentials you'll need to get an interview:

• Experience in a compliance, GRC, or information security role within a SaaS or cloud-native organisation
• Hands-on experience with one or more compliance frameworks — SOC 2, ISO 27001, PCI DSS, or similar
• Demonstrated ability to automate compliance processes — using scripting (Python, Bash, or similar), APIs, or tooling such as Drata, Vanta, Tugboat Logic, or equivalent
• Familiarity with cloud environments (AWS, GCP, or Azure) and the controls that govern them
• Strong analytical skills — able to decompose a control objective into testable, measurable components
• Excellent written communication — able to produce clear control narratives, test procedures, and evidence documentation

It would be great if you had these too, but we'll support you if you don't:

• Experience with policy-as-code tools (e.g. Open Policy Agent, Conftest, Checkov, or AWS Config Rules)
• Exposure to CI/CD platforms (e.g. GitHub Actions, GitLab CI, Jenkins) and how compliance gates can be embedded within them
• Familiarity with SIEM, log management, or observability tooling in a controls assurance context
• A background that spans both technical and compliance disciplines — e.g. a developer who moved into GRC, or a compliance analyst who learned to code
• Relevant certifications such as CISA, CISSP, CCSP, AWS Security Specialty, or equivalent

Senior DevOps Engineer, Cloud Platform
About the Role

We are building a scalable, cloud-native Email-as-a-Service (EaaS) platform to power automated delivery of alerts, reports, and data notifications across our product suite. You will own the infrastructure layer, defining and automating the full lifecycle of email delivery infrastructure using Terraform/OpenTofu and OpenStack/Rancher. This is a high-ownership role where your work directly enables product reliability at scale.

What You Will Do

• Design, implement, and maintain end-to-end IaC pipelines for the email service using Terraform and OpenTofu, covering provisioning, configuration, and teardown.
• Deploy and operate email service infrastructure on OpenStack and Rancher-managed Kubernetes clusters.
• Build and maintain CI/CD pipelines for infrastructure delivery and service rollouts, ensuring zero-downtime deployments.
• Define and enforce networking, DNS, TLS, and IP reputation configurations required for reliable email delivery (SPF, DKIM, DMARC).
• Implement observability stacks (metrics, logging, alerting) for email throughput, delivery rates, bounce/spam rates, and queue health.
• Manage secrets, credentials, and access controls using secrets management tooling and RBAC across environments.
• Collaborate with backend engineers to define infrastructure contracts and service interfaces.
• Conduct capacity planning, load testing, and incident response for the email platform.
• Produce clear IaC documentation, runbooks, and disaster recovery playbooks.

What We Are Looking For

• 6+ years of hands-on DevOps or platform engineering experience in production environments.
• Strong proficiency in Terraform and/or OpenTofu, including module design, state management, and remote backends.
• Solid experience with OpenStack and/or Rancher for container orchestration and VM workload management.
• Working knowledge of Kubernetes, Helm, and cloud-native deployment patterns.
• Experience with email infrastructure specifics: MTA configuration, SMTP relay, bounce handling, deliverability tuning.
• Proficiency in at least one scripting language (Python, Bash, or Go) for automation and tooling.
• Familiarity with GitOps workflows and infrastructure drift detection.
• Strong understanding of networking fundamentals: DNS, TCP/IP, load balancing, firewall rules.

Nice to Have

• Experience with open-source email platforms such as Postfix, Haraka, or similar MTAs.
• Exposure to message queue systems such as RabbitMQ or Kafka for high-volume email dispatching.
• Knowledge of email compliance and deliverability standards (CAN-SPAM, GDPR, ISP feedback loops).
• Prior experience building internal platform teams or shared infrastructure services.

Okta’s Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate software security engineer to join a team focused on designing and developing Security solutions to harden our frameworks & infrastructure. We embrace innovation and pave the way to transform bright ideas into excellent security software solutions that help run large-scale, mission-critical software. We encourage you to prescribe defense-in-depth measures, industry security standards, enforce the principle of least privilege to  help take our Security posture to the next level. Our Security engineering team has a niche skill-set that combines Security domain expertise with  the ability to design, implement and rollout security features and functionalities without adding friction to product functionality or performance. We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

This is a high-impact role in a security-centric, fast-paced organization that is poised for massive growth and success. You will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction. You will focus on engineering security and privacy aspects of the systems used across our services while working on a weekly release cadence. You will be empowered to propose  stimulating new projects for our roadmap and rewarded with projects using  emerging technologies. Join us and be part of a company that is about to change the cloud computing landscape forever.

Bring all the passion and dedication along and there’s no telling what you could accomplish!

Preferred qualification and abilities:

• 7+ years of development experience in designing and implementing software systems in Java, building highly reliable and mission-critical software.
• 3+ years of work experience in designing and implementing security solutions for applications and distributed systems.
• Work experience and excellent understanding in mitigating OWASP Top 10 attacks on applications, Application Security, Cryptography, Authentication, Authorization using Role-Based and Attribute-Based access controls.
• Strong understanding of concepts such as Test-Driven development, Secure SDLC, Secure code reviews and the ability to identify and mitigate threat vectors and vulnerabilities in code and infrastructure.
• Good understanding and experience in using cloud service providers such as AWS and GCP.
• Developing and maintaining technical documentation such as cookbooks, design and architecture docs.
• Troubleshooting and fixing production issues to ensure reliability, security and performance.
• Work experience in using RDBMS like MySQL, good grasp of concepts such as  replication and clustering along with familiarity in data stores such as Redis and Elasticsearch.
• Excellent grasp of software engineering principles coupled with strong written and verbal communication skills.
• B.S or M.S in Computer Science or related fields.

Responsibilities :

• Act as a liaison between the engineering and security org to develop innovative requirements for the security roadmap.
• Evangelize security best practices across the engineering org.
• Research, design, implement and own security oriented frameworks and features with the common goal of protecting Okta’s customers.
• Routinely participate in cross-vertical code reviews with emphasis on Security.
• Break down complex problems into sub-tasks while prototyping rapidly and iteratively contributing to security initiatives using agile practices.
• Coach and mentor junior engineers in the team.

#LI_Hybrid

P22332_3090120

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.

This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.

What You’ll Do

• Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
• Implement components of our security and governance framework to ensure high-compliance and security standards are met.
• Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
• Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
• Adhere to and champion best practices in code quality, system design, and operational readiness.
• Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.

What You Bring

• Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms. 
• Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
• Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
• Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
• Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.

What Success Looks Like

• You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
• The infrastructure you build is automated, secure, and aligns with the team’s best practices.
• You are a trusted, collaborative, and productive member of the data engineering team.
• Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.

#LI_Hybrid 

P24719_3369503

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

At Observe.AI, you will report to the VP of Information Security and have the opportunity to design and implement cloud/infrastructure security from scratch. You will work with other security and infrastructure teams to create secure access, networks, defence-in-depth, IAM, and address vulnerabilities and misconfigurations across OS, Infrastructure, and cloud. You will work closely with security operations/incident response teams to provide technical leadership. You will also mentor other junior infrastructure security professionals.

What you’ll be doing

Infrastructure Security Leadership & Strategy

• Develop and document comprehensive security policies, reference architectures, design patterns, and the strategic roadmap for Infrastructure Security.
• Keep abreast of the latest network and infrastructure security trends and best practices.
• Collaborate with engineering, AWS and architecture teams to ensure all proposed designs meet both business objectives and stringent security requirements.
• Partner with stakeholders across the organization to integrate and stay updated on the latest infrastructure designs.

Technical Design & Architecture

• Provide technical leadership to infuse security into all infrastructure and network designs across AWS cloud, SaaS applications, and IT environments.
• Design and re-architect the AWS infrastructure to implement robust security measures, including network segmentation, deep packet inspection, firewalls, VPNs, and VPC configurations.
• Design and develop secure access and network solutions for production environments, owning the overall access management framework.
• Act as the security point of contact for Change Management, reviewing all new infrastructure designs
• Own all security components and implement them such as PAM, Access Analyzer, Identity center and RBAC, Guard Duty, WAF, PAM modules
• Design and architect integrations with security tools such as SIEM, Cloud workload protection tools
• Represent Infrastructure Security during regulatory and compliance audits (PCI, SOC, ISO, HITRUST, etc.).
• Work with corporate IT to implement and continuously review and improve network and security controls within the corporate environment.

What you’ll bring to the role

• 9+ Years of experience across Software engineering, network security, and AWS Security
• Proven track record as an experienced Infrastructure Security designer and implementing secure Cloud, networks, and corporate IT infrastructure
• Experience working at a SAAS product company
• Experience leading infrastructure security teams or security focussed SRE teams
• Robust understanding of Network designs and protocols, it is good to have CCNA and other network certifications
• Ability to multi-task and run multiple projects
• Being comfortable with working off times (security incidents cannot be planned)
• Ability to make process under ambiguous situations without clarity
• First-hand experience with major cloud providers, specifically AWS
• Experience in large-scale systems and N-tier architectures
• Excellent communication skills

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Role Overview:

We are seeking an experienced Cloud Engineer to design, implement, and continuously improve our Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities across AWS cloud environments.

This is a hands-on technical role requiring deep AWS expertise, strong scripting skills, and a passion for building highly available, fault-tolerant, and resilient cloud architecture by leveraging container orchestration with Kubernetes and infrastructure as code using Terraform. Good understanding of CI/CD pipelines to enable rapid, reliable deployments and minimize downtime. Adept at implementing DR strategies including multi-region failover, backup and restore automation, and recovery testing aligned with industry BCP/DR standards. You will collaborate closely with security, infrastructure, and application teams to ensure our systems can withstand and rapidly recover from any disruption.

Reports To: Director of Event Response
Level: Senior Individual Contributor

Key Responsibilities:

Cloud Resilience Architecture

• Design and implement multi-region, multi-AZ AWS architectures that meet RTO/RPO targets
• Engineer active-active and active-passive failover patterns using Route 53, Global Accelerator, and CloudFront
• Build automated DR runbooks and playbooks using AWS Systems Manager Automation and Step Functions
• Implement chaos engineering practices using AWS Fault Injection Simulator (FIS) to validate resiliency
• Architect cross-region replication strategies for S3, DynamoDB Global Tables, RDS, and Aurora Global
• Review containerized workloads using Kubernetes, ensuring resilience through self-healing, auto-scaling, and multi-cluster or multi-region deployments.

Backup & Recovery Engineering

• Administer AWS Backup across all services (EC2, EBS, RDS, EFS, FSx, DynamoDB, Aurora) with policy-based automation
• Design immutable backup vaults and cross-account/cross-region backup replication pipelines
• Develop and automate data recovery testing procedures, ensuring integrity and meeting defined SLAs
• Implement point-in-time recovery (PITR) for databases and storage; validate via regular restore drills
• Maintain Business Continuity Plans (BCP) and Disaster Recovery (DR) strategies, including tracking RTO (Recovery Time Objective) and RPO (Recovery Point Objective).

Infrastructure as Code & Automation

• Author and maintain Terraform/CloudFormation templates for all BCP/DR infrastructure components
• Automate DR testing pipelines through CI/CD (CodePipeline, CodeBuild, GitHub Actions)
• Write Python/Bash/PowerShell scripts to orchestrate failover, failback, and health-check workflows
• Manage infrastructure state in AWS Control Tower and implement Landing Zone DR patterns

Monitoring, Alerting & Incident Response

• Build CloudWatch dashboards, alarms, and composite alarms for availability and DR-readiness indicators
• Integrate AWS Health, Personal Health Dashboard events into PagerDuty/OpsGenie alerting workflows
• Participate in on-call rotations and lead DR incident response; conduct post-incident reviews (PIRs)
• Develop and maintain runbooks for AWS service degradations, regional outages, and data corruption events

Governance, Compliance & Testing

• Conduct regular  BCP/DR tabletop exercises and full failover simulations to validate recovery procedures and improve organizational readiness, document results and action items.
• Ensure DR controls meet SOC 2, ISO 22301, NIST 800-53, and HIPAA/PCI requirements as applicable
• Maintain current and accurate DR documentation: BIAs, BCPs, DRP runbooks, and recovery evidence
• Collaborate with audit and compliance teams to provide DR evidence and remediation tracking

Required Qualifications:

Experience

• 5+ years in cloud infrastructure, SRE, or IT disaster recovery engineering roles
• 3+ years of hands-on AWS experience in production environments at scale
• Proven delivery of multi-region DR architectures with defined and tested RTO/RPO targets
• Expert-level proficiency with core AWS resilience services (see skills matrix below)
• Strong scripting skills: Python, Bash, or PowerShell for automation and orchestration
• Experience with Infrastructure as Code: Terraform and/or AWS CloudFormation
• Solid understanding of networking fundamentals: VPC, TGW, Direct Connect, VPN, DNS failover
• Excellent written and verbal communication; able to produce executive-level DR reports

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking – Specialty certification
• Experience with AWS Resilience Hub for automated resilience assessments and policy enforcement
• Familiarity with CloudEndure / AWS Elastic Disaster Recovery (DRS) for workload replication
• Knowledge of Kubernetes-based DR (EKS multi-region, Velero backups, ArgoCD GitOps failover)
• Hands-on experience with serverless DR patterns (Lambda, API Gateway, DynamoDB)

About Our Security Team:

You'll be joining a security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.

Reporting to the Director of Event Response you'll execute on strategic initiatives to operationalize mature BCP/DR capabilities that protect AlphaSense's mission-critical operations and support our commitment to customer trust. This role sits at the critical intersection of incident response and business continuity, ensuring our ability to respond to and recover from major disruptions.

Role Overview:

We are seeking an experienced Cloud Engineer to design, implement, and continuously improve our Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities across AWS cloud environments.

This is a hands-on technical role requiring deep AWS expertise, strong scripting skills, and a passion for building highly available, fault-tolerant, and resilient cloud architecture by leveraging container orchestration with Kubernetes and infrastructure as code using Terraform. Good understanding of CI/CD pipelines to enable rapid, reliable deployments and minimize downtime. Adept at implementing DR strategies including multi-region failover, backup and restore automation, and recovery testing aligned with industry BCP/DR standards. You will collaborate closely with security, infrastructure, and application teams to ensure our systems can withstand and rapidly recover from any disruption.

Reports To: Director of Event Response
Level: Senior Individual Contributor

Key Responsibilities:

Cloud Resilience Architecture

• Design and implement multi-region, multi-AZ AWS architectures that meet RTO/RPO targets
• Engineer active-active and active-passive failover patterns using Route 53, Global Accelerator, and CloudFront
• Build automated DR runbooks and playbooks using AWS Systems Manager Automation and Step Functions
• Implement chaos engineering practices using AWS Fault Injection Simulator (FIS) to validate resiliency
• Architect cross-region replication strategies for S3, DynamoDB Global Tables, RDS, and Aurora Global
• Review containerized workloads using Kubernetes, ensuring resilience through self-healing, auto-scaling, and multi-cluster or multi-region deployments.

Backup & Recovery Engineering

• Administer AWS Backup across all services (EC2, EBS, RDS, EFS, FSx, DynamoDB, Aurora) with policy-based automation
• Design immutable backup vaults and cross-account/cross-region backup replication pipelines
• Develop and automate data recovery testing procedures, ensuring integrity and meeting defined SLAs
• Implement point-in-time recovery (PITR) for databases and storage; validate via regular restore drills
• Maintain Business Continuity Plans (BCP) and Disaster Recovery (DR) strategies, including tracking RTO (Recovery Time Objective) and RPO (Recovery Point Objective).

Infrastructure as Code & Automation

• Author and maintain Terraform/CloudFormation templates for all BCP/DR infrastructure components
• Automate DR testing pipelines through CI/CD (CodePipeline, CodeBuild, GitHub Actions)
• Write Python/Bash/PowerShell scripts to orchestrate failover, failback, and health-check workflows
• Manage infrastructure state in AWS Control Tower and implement Landing Zone DR patterns

Monitoring, Alerting & Incident Response

• Build CloudWatch dashboards, alarms, and composite alarms for availability and DR-readiness indicators
• Integrate AWS Health, Personal Health Dashboard events into PagerDuty/OpsGenie alerting workflows
• Participate in on-call rotations and lead DR incident response; conduct post-incident reviews (PIRs)
• Develop and maintain runbooks for AWS service degradations, regional outages, and data corruption events

Governance, Compliance & Testing

• Conduct regular  BCP/DR tabletop exercises and full failover simulations to validate recovery procedures and improve organizational readiness, document results and action items.
• Ensure DR controls meet SOC 2, ISO 22301, NIST 800-53, and HIPAA/PCI requirements as applicable
• Maintain current and accurate DR documentation: BIAs, BCPs, DRP runbooks, and recovery evidence
• Collaborate with audit and compliance teams to provide DR evidence and remediation tracking

Required Qualifications:

Experience

• 5+ years in cloud infrastructure, SRE, or IT disaster recovery engineering roles
• 3+ years of hands-on AWS experience in production environments at scale
• Proven delivery of multi-region DR architectures with defined and tested RTO/RPO targets
• Expert-level proficiency with core AWS resilience services (see skills matrix below)
• Strong scripting skills: Python, Bash, or PowerShell for automation and orchestration
• Experience with Infrastructure as Code: Terraform and/or AWS CloudFormation
• Solid understanding of networking fundamentals: VPC, TGW, Direct Connect, VPN, DNS failover
• Excellent written and verbal communication; able to produce executive-level DR reports

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking – Specialty certification
• Experience with AWS Resilience Hub for automated resilience assessments and policy enforcement
• Familiarity with CloudEndure / AWS Elastic Disaster Recovery (DRS) for workload replication
• Knowledge of Kubernetes-based DR (EKS multi-region, Velero backups, ArgoCD GitOps failover)
• Hands-on experience with serverless DR patterns (Lambda, API Gateway, DynamoDB)

About Our Security Team:

You'll be joining a security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.

Reporting to the Director of Event Response you'll execute on strategic initiatives to operationalize mature BCP/DR capabilities that protect AlphaSense's mission-critical operations and support our commitment to customer trust. This role sits at the critical intersection of incident response and business continuity, ensuring our ability to respond to and recover from major disruptions.

Senior Security Engineer – Application Security (AI Security Focus)

Reporting To: Manager, Security Engineering Function/Dept: Business Technology / Security

About the Role

You will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You’ll partner with engineering, product, and data science teams to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains.

Responsibilities & Accountabilities

• AI Security Leadership: Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
• Vulnerability Management: Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
• Threat Modeling & Red Teaming: Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems. Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines.
• Automation & Tooling: Build and maintain automation pipelines for AI/ML security testing and monitoring.
• Cross-Functional Collaboration: Partner with Engineering, Product, and Data Science to embed security into AI/ML development lifecycles.
• Incident Response: Support detection, triage, and remediation of AI/ML-specific security incidents.
• Training & Advocacy: Facilitate secure development training focused on AI/ML risks and best practices.
• Metrics & Reporting: Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity).
• Program Ownership: Design and execute quarterly OKRs for AI/ML security initiatives.

Performance Measurement

• Demonstrates deep understanding of AI/ML security risks and mitigations.
• Leads identification, triage, and management of AI/ML and application security issues.
• Establishes routines for updating documentation, runbooks, and dashboards with AI/ML security content.
• Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders.

Educational and Experience Requirements

• 5+ years in information security, with significant experience in application security and AI/ML security.
• Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC. · Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
• Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox, MLFlow security plugins).
• Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
• Excellent communication skills.

Preferred Qualifications

• Bachelor’s degree in a related field.
• Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable).
• Experience working directly with software developers and data scientists to improve code/model security.

Competencies and Behaviors

• Establishes credibility among Engineering and Data Science counterparts.
• Advocates for AI/ML security best practices.
• Drives tasks to completion and maintains accuracy of information.
• Effective prioritization and escalation to management.

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role - Staff Engineer – Software Development.

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and increasingly, AI-powered capabilities.

We are seeking a Staff Engineer – Software Engineering to join our SaaS Platform team. Staff Engineers at Aviatrix operate at the intersection of technical depth and cross-team influence. You will drive the design and delivery of complex backend systems — including AI-augmented data pipelines and agentic AI integrations — while raising the technical bar across the organization. This role is ideal for an engineer who is deeply technical, thrives on solving ambiguous problems, and is ready to shape both the platform’s architecture and the team’s engineering culture.

Position Responsibilities

Architecture & Technical Leadership

• Lead the architecture and delivery of complex backend platform features spanning multiple microservices; break down large, ambiguous projects into well-scoped sub-projects and guide senior engineers through execution.
• Define technical standards, patterns, and best practices for backend microservices development across the team — covering API design, service communication, data modeling, and reliability.
• Own the architectural design of AI-augmented data pipelines: integrating model inference, agentic workflows, and LLM-based processing steps into streaming and batch data flows on AWS.
• Evaluate and recommend agentic AI frameworks and tooling (such as LangChain, LlamaIndex, Amazon Bedrock Agents, or equivalent) for use in platform components; establish integration patterns the broader team can follow.
• Write and present comprehensive design documents and technical proposals that articulate complex problems, solution trade-offs, and long-term platform direction.
• Drive improvements to Aviatrix’s product and security posture, including contributions outside your immediate project area.

AI-Augmented Data Pipelines

• Design and implement data pipelines that incorporate AI/ML model inference as a first-class processing step, enabling intelligent enrichment, classification, anomaly detection, and summarization of platform telemetry and events.
• Architect agentic AI workflows that operate autonomously within data pipelines — orchestrating tool use, retrieval-augmented generation (RAG), and multi-step reasoning to drive platform automation.
• Integrate large language models (LLMs) and foundation models via managed APIs (Amazon Bedrock, OpenAI, Anthropic) and self-hosted inference endpoints into backend services and pipeline stages.
• Build robust prompt engineering and context management layers that make AI model calls reliable, observable, cost-efficient, and safe in a production SaaS context.
• Establish guardrails, evaluation frameworks, and monitoring strategies for AI components in pipelines — including output validation, hallucination detection, latency tracking, and cost controls.
• Collaborate with data and ML teams to define feature stores, embedding pipelines, vector database integrations (e.g., Amazon OpenSearch, pgvector), and model lifecycle management practices.

Backend & Microservices Engineering

• Design and implement high-performance, production-grade microservices in Golang using gRPC and REST; ensure services are secure, observable, and operationally resilient.
• Drive the design of event-driven architectures using AWS data pipeline services — Kinesis, MSK (Kafka), Glue, Step Functions, and EMR — to support real-time and batch processing at scale.
• Enforce strong security and networking practices: AWS VPC architecture, IAM least-privilege access, PrivateLink for private service connectivity, and encryption in transit and at rest.
• Lead platform-wide reliability initiatives: SLO definition, distributed tracing, structured logging, alerting, and chaos engineering practices.
• Conduct rigorous design and code reviews; set a high bar for correctness, testability, and operational readiness.

Team Influence & Collaboration

• Serve as a technical anchor for the team — raising engineering quality through mentorship, design guidance, and a culture of rigorous technical thinking.
• Collaborate with product management and leadership to align technical roadmap investments with business priorities and customer needs.
• Partner with senior engineers across teams to drive consistency in platform architecture and avoid redundant solutions.
• Provide expert guidance during escalations and critical production incidents; drive root-cause analysis and long-term remediation.
• Contribute to recruiting and interviewing; help define bar-raising standards for backend and AI engineering roles.

Requirements

Experience & Education

• 7–10+ years of professional software engineering experience, with a strong track record of technical leadership on backend systems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Demonstrated experience designing and operating SaaS or PaaS products at scale, with multi-tenancy and high-availability requirements.
• Strong foundation in data structures, algorithms, operating systems, and distributed systems.
• Experience working in fast-paced, high-growth technology companies with geographically distributed teams.

Backend & Microservices

• Strong proficiency in Golang; experience building production-grade gRPC-based microservices.
• Deep understanding of distributed systems: consistency, fault tolerance, service discovery, back-pressure, and distributed tracing.
• Expertise in RESTful and gRPC API design, with a strong sense of API contracts, versioning, and backward compatibility.
• Experience building event-driven architectures with message queue and streaming systems (Kafka/MSK, Kinesis, SQS/SNS).
• Strong understanding of elegant and robust system design; ability to evaluate and articulate key engineering trade-offs.

Agentic AI & LLM Integration

• Hands-on experience integrating large language models (LLMs) and foundation models into production backend systems via managed APIs or self-hosted inference.
• Practical knowledge of agentic AI concepts: tool use, autonomous multi-step reasoning, agent orchestration, and human-in-the-loop patterns.
• Experience with at least one agentic AI framework or platform (e.g., LangChain, LlamaIndex, Amazon Bedrock Agents, AutoGen, or similar).
• Familiarity with retrieval-augmented generation (RAG): embedding models, vector databases (OpenSearch, pgvector, Pinecone), and context retrieval strategies.
• Understanding of prompt engineering principles: structured prompts, few-shot examples, chain-of-thought reasoning, and output validation.
• Experience designing AI guardrails and evaluation pipelines to ensure reliability, safety, and cost-efficiency of LLM components in production.

Data Pipelines

• Proven experience designing and operating large-scale data pipelines for real-time streaming and batch workloads.
• Strong working knowledge of AWS data pipeline services: Amazon Kinesis (Data Streams & Firehose), AWS Glue, Amazon MSK, AWS Step Functions, and Amazon EMR.
• Ability to embed AI/ML inference steps — including LLM calls, embedding generation, and model scoring — as processing stages within data pipelines.
• Familiarity with pipeline observability: data lineage, quality monitoring, SLA management, and alerting.
• Experience with schema management, data quality enforcement, and data catalog practices (e.g., AWS Glue Data Catalog).

AWS & Cloud Infrastructure

• Deep experience with AWS as a primary cloud platform; strong understanding of high-availability, multi-AZ deployment patterns.
• Solid knowledge of AWS networking and security: VPC architecture, IAM roles and policies, AWS PrivateLink, Transit Gateway, and security groups.
• Proficiency with Kubernetes (EKS), including workload scheduling, RBAC, networking (CNI), and cluster operations.
• Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation) and CI/CD pipelines for cloud-native backend services.
• Familiarity with Amazon Bedrock or equivalent managed AI/ML platforms for model deployment and inference at scale.

Nice to Have

• Experience fine-tuning or adapting foundation models for domain-specific tasks.
• Familiarity with ML frameworks (PyTorch, HuggingFace Transformers) and model serving infrastructure (SageMaker, TorchServe).
• Background in network security, cloud networking, or SASE/SD-WAN technologies.
• Experience with multi-cloud environments (Azure, GCP) alongside AWS.
• Contributions to open-source AI, data engineering, or cloud-native projects.

Interpersonal & Communication

• Excellent written and verbal communication; able to produce clear technical documents and present confidently to engineering and product leadership.
• Demonstrated ability to lead through influence, build consensus across teams, and drive outcomes without direct authority.
• Team player who thrives in collaborative, geographically distributed environments and startup-paced cultures.

ABOUT THE ROLE:

The Tide Security Engineering team is made up of three core areas: Product Security, Identity, Threat Detection & Response

Product Security consists of application and cloud security experts. Their mission is to protect the products we build, covering everything from secure design reviews to threat modelling and penetration testing, ensuring security is embedded from the ground up.

Threat Detection & Response (this role!) focuses on protecting the company by building a robust detection and automation platform. We’re proactive in our defence, constantly hacking ourselves to improve our security posture and staying ahead of emerging threats. Our goal is to make Tide resilient against the ever-evolving threat landscape.

Identity is responsible for managing Tide's staff identity platform, ensuring that access to systems and infrastructure is secure, seamless, and aligned with modern security practices. The team uses strategies like zero trust, multi-factor authentication, and granular role-based access controls to safeguard our internal operations.

While each area has its own focus, collaboration is key - it's why we share the same Slack channel and hold our standups together as one cohesive team, ensuring alignment and seamless communication across all security functions.

• Supporting the development and implementation of a strategic vision for threat detection, driving the overall direction and priorities for a team of highly talented engineers.
• Getting hands-on with SIEM systems, including creating custom log-parsers for in-house applications, configuring alert rules, performing log analysis and tuning detections to reduce false positives.
• Creating security automations and services to automate mundane tasks; from data enrichment to automatically removing phishing emails from employee mailboxes. We want you to run with the “anything is possible” mantra.
• Continuously hunting for sophisticated threats across our infrastructure, leveraging threat intelligence and innovative detection techniques to stay ahead of attackers. You'll monitor and respond to threats across AWS, GCP, internal applications, and employee endpoints (Windows, macOS).
• Collaborating with cross-functional teams to develop and implement; business-specific threat detection rules. 
• Responsible for ensuring the quality of detections, and uptime of our detection ecosystem through mature test driven development paired with proactive health monitoring capabilities.
• Identifying opportunities to build or enhance internal tools that streamline threat detection processes, improve data visibility, and increase response efficiency.
• Leading complex incident investigations, coordinating efforts across the security, IT, and engineering teams to ensure rapid and effective containment, remediation, and recovery.
• Support as part of the wider security incident response on-call rota.

WHAT WE ARE LOOKING FOR:

• Strong knowledge with one of the following: Splunk, Scanner, Sentinel, SecOps.
• Strong understanding of modern attack and defence techniques which apply to Cloud (AWS, GCP), SaaS (such as Google Workspace and Okta) and desktop (Windows and macOS) environments.
• Passion for passing on knowledge to fellow colleagues.
• Hands-on attitude and the ability to drive solutions to completion.
• Strong experience in security automation, from writing scripts to creating end-to-end automated workflows. Familiarity with SOAR platforms and automating threat detection and response tasks.
• Excellent spoken and written communication skills.
• Experience with writing automation and scripts; bonus points if you have a repository to show-case your work.

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING:

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

A CAREER WITH POINT72’S TECHNOLOGY TEAM

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

WHAT YOU’LL DO

• Monitor, triage, and assess incidents across global markets and technology platforms, validating severity, business impact, and escalation requirements.
• Act as command-and-control lead for major incidents, driving structured response, rapid restoration, and informed decision-making.
• Coordinate recovery efforts across L1/L2/L3 support teams, engineering, infrastructure, and third-party vendors to minimize business disruption.
• Lead internal and external stakeholder communications, including senior leadership, during incidents and service disruptions.
• Trigger and govern disaster recovery (DR) failover in line with predefined criteria, controls, and governance standards.
• Ensure accurate, timely, and audit-ready incident documentation, including detailed timelines, evidence, and impact analysis.
• Facilitate post-incident reviews (RCA/post-mortems), ensure root causes are clearly identified, and track corrective and preventative actions to closure.
• Govern end-to-end change management, including change risk assessment, CAB facilitation, approval workflows, maintenance windows, and change-related incident management.
• Drive continuous improvement in incident, change, and event management processes through automation, standardization, and improved tooling and alert quality.
• Partner with engineering and operations teams to design scalable, resilient processes, promote best practices, and enhance operational maturity, reliability, and auditability.

WHAT’S REQUIRED

• Experience with ITSM platforms (e.g., ServiceNow, Jira) and incident/alerting tools (PagerDuty, FireHydrant, Everbridge).
• Familiarity with Agile, DevOps, ITIL, SDLC, release management, SRE, observability, and reliability engineering concepts.
• Experience working in financial services or other highly regulated, mission-critical environments, including disaster recovery and large-scale failover events.
• Solid understanding of severity classification, escalation protocols, on-call models, and major incident management.
• Proven experience in incident, problem, change, and event management within large-scale enterprise environments.
• Hands-on background in production support and operations, including application and infrastructure support.
• Ability to work in shifts and support a global follow-the-sun operating model.
• Strong leadership, communication, and coordination skills, with the ability to operate calmly under pressure.
• Demonstrated ability to lead cross-functional teams and manage third-party vendors during incidents.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Commitment to high ethical standards and operational integrity

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits
• Maternity, Adoption & related leave policies
• Generous paternity and family care leave policies
• Employee Assistance Program & Mental wellness programs
• Transportation support
• Tuition assistance

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com.

About the Role:

We are seeking an experienced Senior Business Applications Security Engineer to join our growing Corporate Technology team. This is not a maintenance role—this is an opportunity to build something from the ground up. You will take ownership of the security posture for our entire business application ecosystem, from Salesforce and Workday to niche departmental tools, transforming a fragmented, reactive approach into a centralized, proactive, and hardened security program. Your focus will be on bridging business needs with cloud-based software solutions through implementation, optimization, and vendor management.

Transform business application security from an afterthought to a core competency. You will:

• Build from scratch: Design and implement a comprehensive business application security program where none exists
• Own the ecosystem: Take full ownership of security posture across 200+ business applications (SaaS, cloud, and on-premise)
• Establish the standard: Define what "secure" means for business applications and ensure every tool meets that bar
• Shift left: Embed security into procurement, integration, and lifecycle management processes
• Drive change: Partner with stakeholders across IT, Engineering, Finance, HR, Sales, and Marketing to fundamentally change how the organization thinks about application security

Responsibilities

• System Administration: Design and scale user access with role-based access controls (RBAC), where possible
• Technical Support & Troubleshooting: Provide escalation support in debugging app access/role issues
• Application Onboarding: Conduct requirements discovery and analysis with key stakeholders for new applications, particularly pertaining to login and role access protocols
• Identity Lifecycle Management: Designing and implementing automations ensuring automatically granted or revoked access
• Integration Management: Manage API connections and integrations between business applications in our tech stack
• Process Improvements: Identify and implement automation opportunities to streamline workflows
• Data & Compliance: Ensure data accuracy, integrity and compliance with security standards
• Mentorship to guide junior teammates on best practices within the role

Qualifications

• 8+ years of experience in Application Security or related role
• Professional Certifications: CISSP are a plus
• Expertise in Okta, Google Workspace, Microsoft 365
• Experience with SAML and OAuth protocols, as well as SCIM
• Proficiency with Okta Workflow or similar automation platforms
• Excellent ability to bridge conversations between technical teams and non-technical business stakeholders
• Soft skills: Change management, process improvement, stakeholder management, collaborative mindset with excellent written and verbal communication.

What We Offer:

• Competitive compensation package
• Equity opportunities
• Comprehensive health, dental, and vision coverage
• Flexible PTO and remote work options
• Learning & development resources
• A high-impact role in a fast-growing, mission-driven company.

About the Role:

We are seeking an experienced Senior Business Applications Security Engineer to join our growing Corporate Technology team. This is not a maintenance role—this is an opportunity to build something from the ground up. You will take ownership of the security posture for our entire business application ecosystem, from Salesforce and Workday to niche departmental tools, transforming a fragmented, reactive approach into a centralized, proactive, and hardened security program. Your focus will be on bridging business needs with cloud-based software solutions through implementation, optimization, and vendor management.

Transform business application security from an afterthought to a core competency. You will:

• Build from scratch: Design and implement a comprehensive business application security program where none exists
• Own the ecosystem: Take full ownership of security posture across 200+ business applications (SaaS, cloud, and on-premise)
• Establish the standard: Define what "secure" means for business applications and ensure every tool meets that bar
• Shift left: Embed security into procurement, integration, and lifecycle management processes
• Drive change: Partner with stakeholders across IT, Engineering, Finance, HR, Sales, and Marketing to fundamentally change how the organization thinks about application security

Responsibilities

• System Administration: Design and scale user access with role-based access controls (RBAC), where possible
• Technical Support & Troubleshooting: Provide escalation support in debugging app access/role issues
• Application Onboarding: Conduct requirements discovery and analysis with key stakeholders for new applications, particularly pertaining to login and role access protocols
• Identity Lifecycle Management: Designing and implementing automations ensuring automatically granted or revoked access
• Integration Management: Manage API connections and integrations between business applications in our tech stack
• Process Improvements: Identify and implement automation opportunities to streamline workflows
• Data & Compliance: Ensure data accuracy, integrity and compliance with security standards
• Mentorship to guide junior teammates on best practices within the role

Qualifications

• 8+ years of experience in Application Security or related role
• Professional Certifications: CISSP are a plus
• Expertise in Okta, Google Workspace, Microsoft 365
• Experience with SAML and OAuth protocols, as well as SCIM
• Proficiency with Okta Workflow or similar automation platforms
• Excellent ability to bridge conversations between technical teams and non-technical business stakeholders
• Soft skills: Change management, process improvement, stakeholder management, collaborative mindset with excellent written and verbal communication.

What We Offer:

• Competitive compensation package
• Equity opportunities
• Comprehensive health, dental, and vision coverage
• Flexible PTO and remote work options
• Learning & development resources
• A high-impact role in a fast-growing, mission-driven company.

About the Role

We’re looking for a Senior Systems Engineer, Financial Systems to support and evolve our NetSuite accounting systems that power Fivetran’s core financial operations. In this role, you will focus on ensuring that our ERP environment supports scalable, accurate, and efficient financial processes across Record to Report and key aspects of Order to Cash.

You will partner closely with Accounting, Finance, and Engineering teams to maintain and improve NetSuite configurations, financial reporting, and close processes. This role will also drive automation and operational improvements within the ERP environment while ensuring data integrity and strong system controls.

As a senior-level engineer, you will play a critical role in maintaining the reliability and performance of NetSuite while helping Finance scale processes and reporting as the company grows.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• NetSuite (GL, ARM, AR, financial reporting, saved searches, workflows, configuration)
• SuiteScript, JavaScript, SQL, Python
• AI/ML tools for workflow automation and financial data insights (Claude, Chat GPT, Codex)
• Celigo, Coupa, Avalara, Stripe
• Data platforms such as BigQuery
• Integration technologies and APIs
• Cloud infrastructure and automation platforms

What You’ll Do

• Configure, maintain, and optimize NetSuite financial modules including GL, AR, ARM, and financial reporting.
• Partner with Accounting and Finance stakeholders to support Record to Report and financial close processes within NetSuite.
• Develop and maintain workflows, saved searches, reports, and dashboards to support financial operations and reporting needs.
• Support month-end and quarter-end close processes by ensuring accurate system configuration and reliable financial data.
• Maintain strong system controls, audit readiness, and documentation of system configurations and financial processes.
• Troubleshoot and resolve NetSuite-related issues through the Financial Systems Jira support queue.
• Collaborate with Finance, Accounting, and the internal Systems Engineering team on enhancements and system improvements.
• Ensure accurate data flows between NetSuite and connected systems such as Coupa and other finance tools.
• Identify opportunities to automate accounting processes and improve operational efficiency within NetSuite.
• Contribute to the long-term roadmap for financial systems and accounting automation.

Skills We’re Looking For

• 6-8+ years of experience working with NetSuite or enterprise financial systems in an ERP or financial systems role.
• Strong expertise configuring and supporting NetSuite financial modules including GL, AR, and revenue recognition.
• Solid understanding of accounting processes including Record to Report and financial close workflows.
• Experience building reports, saved searches, dashboards, and workflows within NetSuite.
• Strong analytical and problem-solving skills with attention to detail and data accuracy.
• Ability to partner effectively with Finance, Accounting, and cross-functional teams.
• Excellent communication and documentation skills.

Bonus Skills​

• Experience implementing AI-driven finance automation, predictive analytics, or intelligent workflow tooling.
• Familiarity with SuiteTax or tax engine implementations.
• Experience working in a high-growth SaaS company or public company environment.
• Familiarity with data platforms such as BigQuery and building financial data pipelines.

#LI-HYBRID

#LI-VM1

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● 7+ years of experience in the art of writing code and solving problems on a Large Scale.

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

Job Description:

We are seeking a skilled React Native App Developer with 5 to 8 years of experience to join our dynamic development team. The ideal candidate will have a strong foundation in mobile app development, particularly with React Native, and a passion for creating user-friendly and efficient applications.

Key Responsibilities:

• Develop and maintain cross-platform mobile applications using React Native.
• Collaborate with UI/UX designers to implement designs and ensure a seamless user experience.
• Work closely with Native Android / iOS team to build hybrid solutions.
• Work closely with backend developers to integrate APIs and other services.
• Optimize applications for maximum speed and scalability.
• Participate in code reviews, testing, and debugging to ensure high-quality code.
• Stay updated with the latest industry trends, tools, and technologies to enhance development efficiency.
• Troubleshoot and resolve issues related to mobile app performance and functionality.
• Contribute to the continuous improvement of development processes and workflows.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5 to 8 years of professional experience in mobile app development, with at least 4 years of experience in React Native.
• Strong knowledge of JavaScript, TypeScript, and related frameworks.
• Experience with RESTful APIs, third-party libraries, and integration.
• Familiarity with native build tools, like VS, Webstorm, XCode, Android Studio, etc.
• Proficient understanding of version control tools, such as Git.
• Experience with state management libraries such as Redux, MobX, or Context API.
• Experience with automated testing frameworks like Jest, Detox, or Appium.
• Understanding of CI/CD pipelines and mobile app deployment processes.
• Solid understanding of the mobile app development lifecycle and best practices.
• Familiarity with performance tuning, memory management, and debugging of mobile applications.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● 5+ years of experience in the art of writing code and solving problems on a Large Scale.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

Challenges 

Building for Scale, Rapid Iterative Development and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we  code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of  passionate application development and product-driven thinking 

Role 

As the product manager, you will own and drive the vision and road map for our platforms. You will be responsible for evangelizing and executing on the road map. You will work closely with internal and external stakeholders cutting across, business, technology, regulatory, and industry. You will be responsible for defining, designing, and detailing these platform solutions. You will also be responsible for the delivery of the solutions working with cross-functional, distributed teams. Finally, you will be key, in helping us maintain our product agility, and extend our leadership in delivering innovative product solutions that run reliably at scale.

This role will require deep problem-solving acumen as well as strong communication and negotiation skills. Most of all it will require a proven track record of shipping world-class product solutions, preferably in platform and risk products. 

Required Skills 

• Experience in automating workflows using automation tools/AI
• Deep understanding of platforms, risk, user profiling ecosystems, industry trends, technology development, and evolving customer needs 
• At least 5 years of background in building products or platform
• Comfortable with complex technology, analytics, and product teams
• Experience in building platforms with large dataset analytics in real-time 
• Excellent negotiation skills and verbal and written communications skills
• Extremely analytical and data-driven; ability to derive actionable conclusions from large data sets
• Proven ability in delivering results in a fast-paced, rapid-growth environment
• Team player; ability to interface and build relationships at all levels internally and  externally 
• Experienced in influencing disparate stakeholders and working with cross-functional teams across multiple locations and business units

Challenges 

Building for Scale, Rapid Iterative Development and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we  code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of  passionate application development and product-driven thinking 

Role 

As the product manager solving growth focused problems, you will own and drive the vision and road  map for products driving customer growth for both PhonePe and PhonePe’s merchant partners. You will  be responsible for evangelizing and executing on the road map. You will work closely with internal and  external stakeholders cutting across, business, technology, regulatory and industry. You will be  responsible for defining, designing and detailing these growth solutions. You will also be responsible for  delivery of the solutions working with cross-functional, distributed teams. Finally, you will be key in  helping us maintain our product agility and extend our leadership in delivering innovative growth focused solutions that run reliably at scale.

This role will require deep problem-solving acumen as well as strong communication and negotiation  skills. Most of all it will require a proven track record of shipping world-class product solutions, preferably  in consumer facing products. 

Required Skills 

• Deep understanding of marketing tech stacks, industry trends, technology  development and evolving customer needs 
• Excellent negotiation skills and verbal and written communications skills 
• Extremely analytical and data driven; ability to derive actionable conclusions from large  data sets 
• Proven customer champion 
• Proven ability in delivering results in a fast-paced, rapid-growth environment 
• Team player; ability to interface and build relationships at all levels internally and  externally 
• Experienced in influencing disparate stakeholders and working with cross functional teams across multiple locations and business units 
• Comfortable with complex technology, analytics and product teams
• Atleast 5 years of background in building customer facing products or platform

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● 5+ years of experience in the art of writing code and solving problems on a Large Scale.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

As a Software Engineer:

● You will build Robust and Scalable web-based applications.

● Build abstractions and contracts with separation of concerns for a larger scope.

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module.

● Do incremental changes to architecture: impact analysis of the same.

● Do performance tuning and improvements in large scale distributed systems

● Work closely with Product Manager to derive capability view from features/solutions, lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

As a Software Engineer, you must have:

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming.

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces.

● Excellent coding skills – should be able to convert the design into code fluently.

● Knowledge of Test Driven Development.

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc).

● Experience with full life cycle development in any programming language on a Linux platform.

● Worked in a startups environment with high levels of ownership and commitment.

● Strong desire to solving complex and interesting real-world problems

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● 5-7 years of experience in the art of writing code and solving problems on a large scale.

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● 5+ years of experience in the art of writing code and solving problems on a Large Scale.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● 5+ years of experience in the art of writing code and solving problems on a Large Scale.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

About the Team

The Product Trust team at Postman is responsible for building and maintaining highly secure, scalable, and reliable platform services that safeguard our users and their data. These services form the foundation of customer trust—from authentication and access controls to secret scanning, auditing, and compliance.

We work across the stack and across teams, partnering closely with infrastructure, product, and security to deliver solutions that protect our global user base.

The Opportunity

We are looking for an exceptional Senior Engineer who will lead the development of next-generation systems within the Product Trust domain. This role is ideal for someone who thrives in building critical platform components, enjoys solving complex infrastructure challenges, and has a deep appreciation for both security and user experience.

You will play a key role in shaping the technical roadmap, owning delivery end-to-end, and mentoring other engineers as we build resilient systems at scale.

What You’ll Do

• Design, build, and maintain tier 0 systems that are secure, scalable, and highly available.
• Take ownership of backend infrastructure that powers core trust and security features at Postman.
• Work with your manager and senior team members to evolve the technical roadmap for the Product Trust team and guide architectural decisions.
• Contribute to product design by bringing in a security and trust lens to every feature we ship.
• Lead engineering best practices in code quality, observability, incident response, and system reliability.
• Mentor engineers within the team and support hiring, onboarding, and planning efforts.

About You

• 5+ years of experience in backend or full-stack engineering roles, ideally in platform or security-focused domains.
• Expertise with Node.js, TypeScript/JavaScript, and web frameworks (e.g., React) along with solid web fundamentals.
• Strong understanding of distributed systems, databases (SQL/NoSQL), web services, and backend architecture.
• Passion for building products that are secure by design and delightfully simple for users.
• Demonstrated experience driving projects from ideation to production.
• Strong system design, problem-solving, and debugging skills.
• A collaborative mindset and the ability to work effectively across team boundaries.
• Experience with mentoring engineers or leading small teams is a strong plus.

Why Join Us?

• Help shape the future of trust and security for millions of developers globally.
• Lead initiatives that directly impact product integrity, reliability, and compliance.
• Collaborate with world-class engineers in a high-growth, product-driven environment.
• Join a company that values curiosity, transparency, ownership, and winning together.

Title: DevOps Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

As a Senior Security Engineer, you will be responsible for designing, implementing, and maintaining the security controls that protect our cloud infrastructure and edge services. You will bridge the gap between high-level security architecture and hands-on infrastructure-as-code (IaC), ensuring our global platforms remain resilient against modern threats, including those targeting cloud-native workloads and AI-driven features.

Depending on your profile, some of your responsibilities can include:

• Experience range 6 to 10 Years 
• CNAPP Management: Act as the primary owner for the Cloud-Native Application Protection Platform (CNAPP), using it to identify misconfigurations, manage vulnerabilities, and enforce compliance across multi-cloud environments.
• Cloud Visibility & Governance: Utilize CNAPP and CSPM (Cloud Security Posture Management) to gain deep visibility into identities, secrets, and data risks, ensuring clear prioritization of security findings.
• Edge & Application Protection: Deploy and manage Web Application Firewalls (WAF) and Edge Security layers to mitigate Layer 7 attacks, DDoS, and malicious bot activity.
• Workload Protection: Oversee Endpoint Detection and Response (EDR) and Cloud Workload Protection (CWPP) to monitor and secure containers, serverless functions, and virtual machines.
• Data & Identity Governance: Design secure key management (KMS) and identity-aware access policies (IAM) to enforce Zero Trust principles.
• Security Automation: Integrate CNAPP findings into the CI/CD pipeline and develop automations via Infrastructure as Code (Terraform/Ansible) to remediate risks at scale.

Must have:

• CNAPP Mastery: Deep, hands-on experience with Cloud-Native Application Protection Platforms (CNAPP), specifically focusing on Cloud Security Posture Management (CSPM) and Cloud Workload Protection (CWPP).
• Vulnerability & Risk Management: Proven ability to triage and prioritize cloud security risks (misconfigurations, toxic combinations of permissions, and vulnerabilities) using centralized security platforms.
• Cloud & Edge Protection: Strong experience with Edge Security services, including WAF, DDoS mitigation, and Zero Trust Network Access (ZTNA).
• Infrastructure as Code (IaC): Proficiency in Terraform or Ansible, with a focus on "shifting security left" by scanning IaC templates before deployment.
• Cloud Fundamentals: Expert knowledge of AWS security services, specifically Identity and Access Management (IAM), Key Management Service (KMS), and CloudTrail.
• Technical Communication: Ability to translate complex CNAPP alerts into actionable remediation steps for engineering teams.
• Comprehensive understanding of the OWASP Top 10 and common cloud security vulnerabilities.
• Linux/Unix proficiency.

Nice to have:

• Experience with serverless security and edge computing (e.g., Edge Workers).
• Familiarity with automated security scanning tools (SAST/DAST/IAST).
• Understanding of compliance frameworks (ISO 27001, NIST, SOC2) as they relate to cloud environments.
• Relevant certifications (e.g., AWS Security Specialty, CCSK, or platform-specific CNAPP certifications).

A CAREER WITH POINT72’S TECHNOLOGY TEAM
As Point72 reimagines the future of investing, our technology group is constantly improving our company’s technology infrastructure, positioning us at the forefront of a rapidly evolving technology landscape.
We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

The Back Office Technology Team supports trade processing, position keeping, clearing/settlement, fund accounting, trade reconciliation and prime broker integrations. The team partners with Middle and Back Office business users to customize and implement solutions supporting trade processing and new business developments.

WHAT YOU’LL DO
You will work with world class engineers, developing high-capacity integrations and development capabilities with in-house and vendor built applications, , managing internal and external data, and developing the data warehouse of the future to support our growing business. Specifically, you will:

• Be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes, as well as tactical development.
• Build software applications and deliver software enhancements and projects supporting fund accounting and trade processing technology.
• Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies.
• Oversee system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services.
• Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps best practices.
• Continuously improve platforms using the latest technologies and software development ideas.
• Help transition select applications to cloud platforms, enhancing stability, scalability, and performance of the existing platform.
• Develop close working relationships and collaborate with other technology teams to deliver cross-departmental initiatives.

WHAT’S REQUIRED
• 3-12 years of professional software development experience with a focus on .Net based technologies
• Strong SQL development and experience developing large-scale data warehouses
• Experience developing projects based on messaging architectures, high volume streaming and/or transaction processing systems
• Experience with building and consuming RESTful services
• Excellent verbal communication skills
• Strong problem solving and analytical skills
• Understanding of agile methodologies
• Knowledge of accounting, settlement, and affirmation processing associated with a range of financial products
• Familiarity with NoSQL databases (Redis, MongoDB)
• Experience with building micro services, Kubernetes based platforms, and AWS
• Experience in Java
• Experience designing and building interactive web interfaces using Angular/React
• Experience working with industry-known prime broker reconciliation software
• Commitment to the highest ethical standards.

ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.

[About the role]

We are looking for a Senior DevOps / Platform Engineer to own the end-to-end cloud infrastructure, reliability, security, and CI/CD platforms for our platform products. This is a high-ownership, hands-on role responsible for building and operating production-grade infrastructure that supports high availability, regulatory compliance, scalability, and cost efficiency. You will act as the platform backbone for fast-moving product and engineering teams.

[Key Responsibilities]

      Infrastructure & Platform

• Design, deploy, and operate cloud-native infrastructure on AWS or Azure
• Own Kubernetes-based microservices infrastructure across environments (prod, staging, dev)
• Define infra standards, environments, networking, and release guardrails
• Manage databases, caches, queues, and supporting infra from a platform perspective

       Reliability & Availability

• Define and enforce SLOs / SLAs for critical user and payment flows
• Build for high availability, auto-scaling, and fault tolerance
• Implement zero-downtime deployments and safe rollout strategies
• Own incident response, postmortems (RCA), and preventive action plans
• Plan capacity and scaling for traffic spikes and seasonal peaks

       CI/CD & Release Engineering

• Build and maintain CI/CD pipelines for backend, frontend, and mobile applications
• Standardize deployment pipelines with rollback, approvals, and auditability
• Enable faster, safer releases without compromising reliability

       Observability & Monitoring

• Own the observability stack across services and infrastructure
• Implement monitoring for:
• Latency, throughput, error rates
• Infrastructure health
• Payment and checkout flows
• Define alerting strategies aligned with business impact, not noise

       Security & Compliance

• Own platform-level security posture and compliance readiness
• Implement and manage:
• Secrets management and key rotation
• IAM, RBAC, and least-privilege access
• Network security, TLS, WAFs, and audit logging
• Partner with security/compliance stakeholders during audits and reviews
• Ensure infrastructure is audit-ready (logs, access trails, change history)

       Cost & Efficiency

• Monitor and optimize cloud costs across environments
• Design infra with cost-efficiency in mind without sacrificing reliability
• Provide visibility into infra usage and cost drivers

[Required Experience]

• 4+ years of experience in DevOps / SRE / Platform Engineering
• Hands-on experience running production-grade Kubernetes workloads
• Experience supporting high-availability, high-throughput systems
• Strong understanding of microservices infrastructure
• Experience working with fintech, payments, or transaction-heavy systems
• Proven ownership of uptime, reliability, and incident management

     Expected Tech Exposure

• Cloud: AWS or Azure
• Containers: Docker, Kubernetes
• CI/CD: GitHub Actions, Jenkins, Fastlane
• Infrastructure as Code: Terraform / ARM / Pulumi
• Databases & Caches: PostgreSQL, Redis
• Messaging: Kafka / Event Hubs
• Security: Vaults, SSL/TLS, key rotation, network policies
• Observability: Prometheus, Grafana, Azure Monitor, Sentry

Good-to-Have

• Experience with UPI, wallets, payment gateways, or banking systems
• Exposure to multi-cloud or hybrid environments
• Familiarity with compliance standards (PCI-DSS, SOC-style controls, audit workflows)
• Experience defining SLOs, error budgets, and release safety mechanisms

You’ll Be Successful If

• You think in systems, reliability, and failure scenarios
• You proactively prevent outages, not just react to them
• You enjoy owning infrastructure end-to-end, not just tooling
• You build platforms that enable product teams to move fast, safely
• You’re comfortable being accountable for uptime, security, and scale

Role Summary

We are seeking a highly skilled and experienced Security Engineer to join our team, focusing on offensive security, exploitation, and automation. The ideal candidate will possess expertise in advanced Red Teaming methodologies, deep knowledge of web application and API penetration testing, and proficiency in scripting, security automation, and vulnerability exploitation techniques. You will be responsible for validating real-world risk and providing expert technical advisory to clients.

Key Responsibilities

• Lead Advanced Penetration Testing: Plan and execute comprehensive offensive security engagements, including Red Team operations, web application, API, mobile application, and cloud environment penetration tests.
• Exploitation and Validation: Proactively identify, exploit, and validate critical vulnerabilities (including 0-days) across diverse client environments to demonstrate real-world impact and risk.
• Automation & Tool Development: Design, develop, and implement custom scripts and security tools (e.g., in Python, Go) to automate offensive processes, continuous security assessments, and improve the team's efficiency and capabilities.
• Vulnerability Mitigation Advisory: Translate complex technical findings into clear, actionable reports and provide expert, technical guidance to engineering teams on effective mitigation strategies and security best practices.
• Advanced Threat Research: Conduct deep technical research on emerging exploit techniques, zero-day vulnerabilities, and attacker Tactics, Techniques, and Procedures (TTPs) to enhance internal capabilities and methodologies.
• Client-Facing Proof of Concept (POC): Conduct professional and technical POC calls with clients, clearly articulating complex exploitation scenarios, demonstrating technical risk, and discussing the corresponding business impact.
• Cross-Functional Collaboration: Partner with internal R&D and Product Management teams, utilizing penetration testing insights to drive significant security feature enhancements and improvements in our product offerings.
• Knowledge Leadership: Contribute to and lead the creation of sophisticated internal knowledge base articles, runbooks, and SOPs focused on advanced exploitation and testing techniques.

Qualifications

• Experience: Minimum of 2+ years of progressive, hands-on experience in offensive security, specifically Red Teaming and advanced penetration testing. Proven track record of successful vulnerability exploitation and bypass of security controls.
• Technical Expertise: Expert proficiency in at least one relevant scripting language (e.g., Python, Go, PowerShell) and deep, hands-on experience with industry-standard security tools (e.g., Burp Suite Pro, Metasploit, Nmap, specific cloud security tools).
• Offensive Certifications (Preferred): Advanced offensive security certifications such as OSCP etc or equivalent.
• Domain Knowledge: Strong understanding of current threat intelligence, dark web monitoring trends, and how they inform offensive testing methodologies.
• Cloud/Mobile Exploitation: Demonstrated experience identifying and exploiting vulnerabilities in major cloud providers (AWS, Azure, GCP) and mobile platforms (iOS/Android).
• Advanced Problem-Solving: Exceptional analytical and structured problem-solving skills focused on bypassing complex security defenses and troubleshooting non-standard technical issues.
• Communication & Presentation: Strong communication, documentation, and interpersonal skills, with the ability to translate technical risks (exploitation paths) into clear, compelling reports and presentations for both technical teams and senior client stakeholders.
• Commitment to Operational Excellence: Willingness to provide support for critical operational schedules, potentially including rotating shifts, to ensure continuous, high-quality assessment coverage.

As a Senior Database Engineer at Tekion, you will design, automate, and optimise database operations across our cloud-native automotive retail platform, connecting OEMs, dealerships, partners, and consumers. You’ll be working on scaling problems, laying down processes and streamlining requirements to actual executable tasks.

You’re expected to know in-depth about different storage and replication internals, trade-offs across SQL/NoSQL technologies, distributed systems fundamentals, transaction interaction and concurrency. A combination of this with strong Python fundamentals and Python scripting experience would make you a strong candidate for this role.

You should have at least 4+ years of experience. You should know about MongoDB in depth, and at least one SQL database like MySQL, MariaDB, PostgreSQL. People who want to build systems, not just manage them.

Key Responsibilities:

1. Core Database Engineering & Distributed Systems (Primary Focus):
1. Debug and prevent concurrency issues (deadlocks, lock escalation, starvation, long-running transactions) and advise teams on safe patterns (idempotency, retries, backoff, fencing tokens).
2. B-tree/LSM trade-offs, page layout, WiredTiger cache, journaling, WAL/redo/undo, checkpoints, compaction, MVCC behaviour
3. Backups (Logical vs Physical vs Snapshots based), upgradation of database systems and versions, data migration, and Disaster Recovery implementation
4. Query planner behaviour, statistics, cardinality estimation pitfalls
5. Indexing strategies and write amplification trade-offs
2. Reliability Engineering, Observability & Incident Response :
   Build and implement database reliability practices:

1. Lead incident response and postmortems; implement preventative controls and automated remediation.
2. Implement monitoring and alerting for replication lag, lock contention, buffer/cache health, slow query patterns, storage growth, and failover events.

1. Python Automation & Platform Tooling (Required):
   Develop and maintain robust Python tooling/services for:

• Automated health checks, failover verification, backup/restore validation, and consistency checks.
• Online schema change orchestration, safe rollout/rollback workflows, and guardrails in automation.
• Performance diagnostics automation (plan capture, workload fingerprinting).
• Build scalable automation that handles millions of records/events efficiently (attention to time/space complexity).

1. Data Modelling Across SQL & NoSQL:
   Guide data modelling decisions across relational and document/Key-Value stores:

• Normalisation vs denormalisation trade-offs
• Secondary index design, hot partition mitigation, and throughput planning
• TTL, archiving, and lifecycle policies
• Define governance for data correctness, durability, and operational safety in high-throughput systems

1. Collaboration, Standards & Enablement

1. Partner with application teams to design safe data access patterns, migration strategies, and operational standards.
2. Define best practices for production change management, access controls, auditing, and compliance requirements.
3. Mentor engineers and raise the bar on database engineering craftsmanship across the org.
4.  

Qualifications & Skills

Must have

• 4+ years of work experience as an engineer in a relevant role and responsibilities.
• Strong foundation in distributed systems and database fundamentals: CAP, consensus basics, replication, failure handling, and consistency.
• Deep understanding of transaction semantics, isolation levels, MVCC, locking, concurrency failure modes, storage engines and DB internals.
• Strong Python skills for building production-grade automation and diagnostics tooling.
• Hands-on experience operating and tuning production databases (MongoDB and at least one SQL system such as MySQL, PostgreSQL, MariaDB etc).
• Strong debugging and performance analysis skills; comfortable working from metrics, logs, traces, and low-level symptoms.
• Experience working with Linux and familiarity with common commands.

Nice to Have

• Experience with multi-region data architectures, global tables, and cross-region failover strategies.
• Familiarity with AWS and MongoDB Atlas.
• Understanding of Networking concepts like VPC, subnets, security groups, CIDR, peering etc.
• Experience with Kubernetes and/or self-managed database experience
• Experience building internal platforms (self-serve database ops, policy-as-code, safe migration frameworks).

What We’re Looking For

A senior engineer who:

• Thinks in trade-offs (latency vs consistency, durability vs throughput, cost vs performance), thinks deeply.
• Can reason from first principles about database behaviour under failure and load.
• Uses Python to operationalise best practices into repeatable, safe automation and can instruct others on best practices.
• Drives reliability, performance, and correctness across both SQL and NoSQL systems.
• Leads through technical clarity, ownership, and mentorship.

Position Overview

We are seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying it on robot hardware.

Responsibilities

• Help design algorithms, models, and techniques for various robotic manipulation tasks.
• Design hardware and software systems for various robotic manipulation tasks.
• Write controllers and perception stacks for real-world robotic deployment.
• Write and maintain production-level C++ and Python code for our robotic manipulation platforms.
• Collaborate with machine learning engineers to deploy state-of-the-art models on our robots.
• Continuously improve and optimize robotic software for performance, reliability, and scalability.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Experience in designing robotic manipulation systems and deploying software on real robots.
• Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM).
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.).
• Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
• Experience with designing custom robot hardware solutions.
• Proficiency with various robot learning techniques (RL, imitation learning, etc.).
• Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D (meshes, point clouds, etc.), segmentation, tracking, object detection.

Position Overview

We are seeking a versatile Robotics Software Engineer to develop and implement software solutions for our robotic systems. Your work will entail building systems for navigation, planning and controls, SLAM, manipulation, and/or perception. You should be comfortable working with both general-purpose and specialized robotics applications. This role involves close collaboration with research scientists and machine learning engineers to integrate state-of-the-art machine learning models into our robots.

Responsibilities

• Design, implement, and test software to bring our robots to life, focusing on navigation, planning and control, SLAM, perception, manipulation, and/or high-level behaviors.
• Write and maintain production-level C++ and Python code for our robotic platforms.
• Collaborate with machine learning engineers and researchers to deploy state-of-the-art models on our robots.
• Work with deployment and test engineers to deploy and monitor robotic solutions at various sites, ensuring robust performance and reliability.
• Continuously improve and optimize robotic software for performance, reliability, and scalability.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in C++ or Python.
• Prior experience developing and deploying software on real robots.
• Strong systems-level understanding of the various software modules and their interfaces in a robotic application Strong technical experience in at least one of the following: navigation, motion planning and controls, SLAM, perception/computer vision, or manipulation.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Familiarity with machine learning integration and deployment in robotic systems.

Title: Software Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a technically adept Staff Front End Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. This role is ideal for an early-career engineer eager to grow their skills in a dynamic, mission-driven team.

Responsibilities:

Platform Development Support

Assist in designing, developing, and testing microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and external integrations.Implement platform components under the guidance of senior engineers and architects, ensuring alignment with enterprise goals for scalability and reliability.Write clean, maintainable, and efficient code using modern programming frameworks (e.g., Spring Boot, Node.js, or Python Flask/FastAPI).

System Maintenance & Optimization

• Support the maintenance and optimization of platform services to ensure performance, scalability, and reliability in a healthcare-critical environment.
• Assist in implementing monitoring, logging, and alerting mechanisms to maintain system health and support issue resolution.
• Participate in debugging and resolving technical issues under the mentorship of senior team members.

Compliance & Security

• Adhere to secure coding practices and healthcare regulatory requirements (e.g., HIPAA, GDPR) as directed by senior engineers and governance teams.
• Assist in implementing data privacy measures, such as encryption and access controls, to ensure compliance with healthcare standards.
• Support audit logging and documentation efforts to maintain traceability and compliance.

Collaboration & Agile Practices

• Collaborate with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, to contribute to team goals.
• Engage in code reviews to learn best practices and improve code quality under the guidance of senior engineers.

Learning & Growth

• Stay informed about software engineering trends, cloud-native technologies, and healthcare interoperability standards through training and mentorship.
• Contribute to prototyping and evaluating new tools or frameworks to enhance platform capabilities.
• Actively seek feedback and apply best practices to grow technical expertise in software development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, including internships, academic projects, or entry-level roles
• Exposure to designing or implementing backend services or APIs is a plus.

Technical Proficiency

• Proficiency in developing highly responsive Front End applications using React, JavaScript/TypeScript, Express.js, Vue.js, Angular
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) is a plus
• Familiarity with Low-code / no-code code generators like Replit AI, Cursor, Codeium, Copilot, ChatGPT etc.
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) or version control systems (e.g., Git)

 Professional Skills

• Strong problem-solving skills with a willingness to learn and tackle technical challenges.
• Good collaboration and communication skills, with the ability to work effectively in a team-oriented environment.
• Proactive, detail-oriented, and eager to grow in a fast-paced, innovative setting.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a technically adept Senior Software Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. 

Responsibilities:

Platform Development & Integration

Design, develop, and maintain scalable microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and third-party integrations.Implement secure and efficient interfaces to external services, ensuring seamless data exchange and interoperability with healthcare systems.Collaborate with the Staff Engineer/Software Architect to architect platform components that align with enterprise goals for scalability, reliability, and performance.Utilize modern frameworks and technologies (e.g., Spring Boot, Node.js, or Python Flask/FastAPI) to build robust platform services.

System Optimization & Reliability

Optimize platform services for performance, scalability, and fault tolerance, ensuring high availability in a healthcare-critical environment.Implement monitoring, logging, and alerting mechanisms to ensure system reliability and rapid issue resolution.Participate in code reviews, debugging, and performance tuning to maintain high standards of code quality and system efficiency.

Compliance & Security

• Ensure platform services adhere to healthcare regulatory requirements (e.g., HIPAA, GDPR) by implementing secure coding practices, encryption, and access controls.
• Collaborate with governance and security teams to enforce data privacy and compliance standards across all platform services.
• Support audit trails and logging mechanisms to ensure traceability and compliance with healthcare data standards.

Collaboration & Agile Practices

• Work closely with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Contribute to agile development processes, including sprint planning, daily stand-ups, and retrospectives, to drive continuous improvement.
• Mentor junior engineers and share best practices in software development, API design, and system architecture.

Innovation & Technical Expertise

• Stay informed about emerging trends in software engineering, cloud-native architectures, and healthcare interoperability standards.
• Prototype and evaluate new tools, frameworks, or technologies to enhance platform capabilities and support AI-driven applications.
• Advocate for best practices in software design, ensuring modularity, maintainability, and scalability in platform development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 5+ years of experience in software engineering, with at least 3+ years in platform or backend development roles.
• Proven track record of designing and implementing scalable, cloud-native platforms or services.

Technical Proficiency

• Strong proficiency in at least two programming languages such as Java, Python, Go or JavaScript/TypeScript for building REST based APIs.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) and service orchestration tools.
• Experience with message queues or event-driven architectures (e.g., Kafka, RabbitMQ) is a plus.
• Good to have: Expertise in healthcare data standards such as FHIR, HL7, USCDI, or CCDA.

Professional Skills

• Strong problem-solving skills with a focus on delivering reliable and scalable services.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

P-1346

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. 

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing,  cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.

As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.

The impact you will have:

• Own Money systems and services that govern usage of all Databricks products and offerings.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 12+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Proven track record in architecting, developing, deploying, and operating large scale distributed systems.
• Experience with software security and systems that handle sensitive data.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

P-1346

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. 

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing,  cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.

As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.

The impact you will have:

• Own Money systems and services that govern usage of all Databricks products and offerings.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 7+ years of production level experience in one of: Java, Scala, C++, or similar language
• Comfortable working towards a multi-quarter vision with incremental deliverables
• Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
• Experience with software security and systems that handle sensitive data
• Demonstrated ability to lead engineering projects across functional and organizational boundaries
• A proactive approach and a passion for delivering high-quality solutions
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes