Senior Software Engineer, Trust & Safety Job at Vercel

Senior Software Engineer II

Axon’s Real Time Operations (RTO) division builds situational awareness software...

Location

United Kingdom , London

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

10+ years building and operating distributed systems at scale
proven track record of owning critical paths and SLOs
Deep expertise in control planes, service discovery, orchestration, partitioning/placement, and consistency models (CAP tradeoffs, CRDTs, leader/follower, quorum)
Strong coding in Go (also acceptable: Java/Rust)
design-first mindset, profiling and performance tuning (allocations, tail latency, lock contention)
Cloud-native foundations: Kubernetes, containers, service mesh (Istio/Envoy), gRPC/HTTP/2, backpressure and circuit-breaking patterns
Streaming/eventing: Kafka/NATS/Pub-Sub, schema evolution (Protobuf/Avro), idempotency keys, and exactly-once vs at-least-once tradeoffs
Security: mTLS, OAuth/OIDC, JWT, x.509, HSM/KMS, structured threat modeling and mitigation

Job Responsibility

Own control-plane architecture for multi-tenant, planet-scale IoT fleets: device provisioning and lifecycle, device identity & PKI, configuration/state management (twin/shadow), command & control, policy/RBAC enforcement, OTA updates and rollout strategies, and authoritative device state
Drive reliability, safety, and security-by-design: zero-trust defaults, mutual TLS, certificate rotation at scale, least-privilege key management (HSM/KMS), robust secrets hygiene, threat modeling, and defense-in-depth for multi-tenancy
Lead cross-org technical strategy: set engineering standards (APIs, versioning, deprecation, rollout, testing), create long-range roadmaps, and mentor/level-up senior engineers across cloud and device teams
Partner with device teams on transport and protocol choices, schema and API contracts, edge–cloud sync models, staged rollouts, failure injection, and field-safe rollback
Establish end-to-end observability (metrics, tracing, structured/audit logs), actionable dashboards, incident response runbooks, and capacity planning with empirical load testing and cost guardrails

What we offer

Competitive Base Salary
Annual Bonus and Restricted Stock Unit Eligibility
Comprehensive Pension Plan with Matching Contribution
30 days paid holiday in addition to UK public holidays
Enhanced Maternity and Paternity Leave for all employees
Private Health Insurance
Cash Plan including Dental, Optician and Therapeutic Treatment Plans
GymPass Subscription
Life assurance (x4 Annual Salary)
Group income Protection

Fulltime

Senior Engineering Manager

CaptivateIQ is transforming the way companies plan, manage, and optimize sales p...

Location

Poland

Salary:

Not provided

CaptivateIQ

Expiration Date

Until further notice

Requirements

Extensive software development experience as an individual contributor
A proven track record as an Engineering Manager leading multiple, distributed software engineering teams
A strong product sense and a proven track record of delivering high-quality results across the full product lifecycle
Experience with B2B SaaS products, from backend services and APIs to the critical user-facing workflows they support
Demonstrated ability to provide technical depth, diving deep into complex architectural problems and guiding senior engineers to sound decisions
A strategic thinker, comfortable setting technical vision over a 6-12 month horizon and managing a complex portfolio of projects
Exceptional interpersonal and written communication skills, with a proven ability to collaborate effectively with cross-functional partners in a remote-first environment
A track record of hiring and developing senior talent, with a passion for helping engineers advance their careers
High sense of ownership and a strong growth mindset
you are a collaborative, humble learner who can thrive in a fast-paced environment

Job Responsibility

Lead, inspire, and grow multiple distributed software engineering teams, fostering a culture of high trust and psychological safety
Develop engineering talent through effective coaching, mentorship, and performance management, with a focus on growing senior and staff-level engineers
Own the end-to-end delivery and operational excellence of your teams' portfolio, ensuring critical user-facing systems are reliable and secure at scale
Partner with Product, Design, and other cross-functional leaders to set a clear vision, prioritize roadmaps, and align a long-term strategy that optimizes for the entire organization
Provide technical leadership and direction by setting architectural guardrails and guiding major technical decisions without being a direct code contributor
Establish and uphold rigorous engineering standards, including SLAs/SLOs, security best practices, and QA processes to accelerate delivery and improve product health
Champion inclusive, async-first practices to ensure your teams, distributed across an ~8-hour time zone spread, can collaborate effectively

Fulltime

Engineering Manager

The Engineering Manager is responsible for leading a team of software engineers ...

Location

France , Paris

Salary:

65000.00 - 80000.00 EUR / Year

Beamy

Expiration Date

Until further notice

Requirements

At least 7 years of coding experience (back-end / full stack)
At least one significant prior experience managing a full-stack engineering squad (2-3 years)
Strong leadership to guide your team
Extensive technical expertise for coaching
Pragmatic mindset for identifying clear, effective solutions
Comfortable building, running and continuously iterating on squad rituals
Comfortable collaborating with cross-functional counterparts: PM, Product Designer
Comfortable supporting and coaching your IC direct reports, and giving them regular feedback
Comfortable managing in both French and English, in a remote context
Comfortable being hands-on in a full-stack context, through code and design document review or code contributions

Job Responsibility

Technical Leadership at Squad Level: Collaborate with Product Manager & Designer on roadmap, project management, and strategic planning
Provide technical guidance and architectural oversight, with selective hands-on coding (20-30%)
Enable engineers through architectural guidance, technical decision-making, and removing technical blockers
Oversee code review process and standards
Ensure team meets velocity and quality targets through effective prioritization and resource allocation
Define and communicate technical direction and architecture decisions for the squad
Analyze requirements, assess feasibility, and ensure appropriate technical documentation
Guarantee project goal achievement, identify risks early, and orchestrate solutions to blockers
Champion best practices (unit testing, TDD, CI/CD, etc.) in collaboration with the QA team
Drive implementation of clean code principles, testing standards, release processes, and pair programming culture

What we offer

Four-day week
Professional development plan
Sick child leave
Mental health benefits
Employee Resource Groups (ERG)

Fulltime

New

Principal Group Engineering Manager

Microsoft Ads serves billions of ad decisions every day across multiple products...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science or related technical field AND 15+ years of professional engineering experience (or equivalent)
8+ years leading senior engineers/tech leads
Proven delivery of web-scale distributed systems: high-QPS services, streaming/event processing, storage/caching, and reliability/performance engineering
Hands-on experience building serving/decision platforms with strict latency, throughput, and correctness constraints
Experience in high-integrity domains requiring auditability, controls, and security/privacy-by-design
Strong stakeholder leadership: driving clarity from ambiguity, aligning across teams, and executing with high-quality delivery discipline

Job Responsibility

Lead and grow the ATS Platform team: hire and develop managers/tech leads, set execution cadence, and raise engineering and operational standards
Own platform architecture and delivery across ingestion , signals/fidelity, inference/decisioning, enforcement
Build web entity intelligence systems at scale: signal acquisition , resolution, relationship graphs, reputation scoring, provenance, and explainability artifacts
Evolve the model serving platform: inference + nearline/batch scoring on gamut of models
Deliver tiered enforcement pipelines (fast-path gating + deeper checks for high-risk traffic) and integrate enforcement actions reliably with partner systems
Partner cross-functionally with Applied Science, PM, Policy, Privacy/Compliance, and partner engineering teams to align roadmaps and deliver end-to-end outcomes

Fulltime

Staff Software Engineer, Social Graph

We are seeking a Staff Software Engineer with deep expertise in graph theory, gr...

Location

United States , San Francisco

Salary:

181000.00 - 271000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of industry experience, including significant experience at senior / staff / principal levels
Demonstrated expertise launching and scaling graph-based applications in production
Deep understanding of graph theory, graph algorithms (e.g., traversal, clustering, centrality), and modern graph data structures
Expert-level experience with graph databases (Neo4j, TigerGraph, JanusGraph, DGL-backed systems, etc.) and efficient graph querying
Proven ability to design high-scale pipelines for ingesting and transforming social or behavioral data
Experience with distributed streaming frameworks (Kafka, Flink, Spark Streaming)
Hands-on experience incorporating graph-derived features into recommendation, ranking, trust, or safety models
Familiarity with Graph Neural Networks (GNNs), graph embeddings, or graph-based ranking systems
Strong product intuition and ability to articulate how graph systems drive business outcomes
Ability to influence architectural direction and mentor teams

Job Responsibility

Serve as the technical lead for initiatives related to social graph modeling, storage, retrieval, and computation
Architect and scale graph databases and graph query systems capable of supporting billions of nodes and edges with low-latency performance
Design and ship pipelines for ingesting, cleaning, and transforming social and behavioral data into graph structures
Partner with ML teams to productionize graph-based features, including embeddings, similarity signals, trust metrics, and GNN-powered ranking features
Lead the development of graph-informed recommendation, trust, and safety systems, ensuring models reflect real-world connectivity patterns
Define and implement feature engineering strategies leveraging graph topology (e.g., mutual connections, influence scoring, community structure)
Contribute to architecture decisions related to streaming systems (Kafka, Flink, Spark Streaming) and real-time graph updates
Mentor engineers and guide best practices on graph design, distributed systems, feature computation, and ML integration
Collaborate with Product to translate graph capabilities into business-impacting features that drive trust, engagement, and discovery
Ensure reliability, scalability, observability, and data quality in all graph-related systems

What we offer

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs
Volunteering program
Equity

Fulltime

New